Jobs & Internships

IMC’s Mumbai based C++ Execution development teams work on software that sits directly in the latency-critical loop of our technology stack and touches every part of our organization. From ensuring our connectivity to the market and handling massive amounts of data, to implementing complex trading algorithms and integrating advanced hardware solutions. As a software engineer, you’ll work in multidisciplinary teams alongside other engineers as well as traders, researchers, and quants to deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability. These are just some of the technologies our C++ software engineers are currently working with: C++ 20, Linux, Docker, Kubernetes, Apache Kafka, Apache Spark, Impala, Hadoop, Python and FPGAs.

IMC is looking for an experienced Quantitative Researcher to develop trading signals and predictive models for our Options business. If you enjoy solving complex problems, working with large datasets, and building models that drive trading performance, this role could be a great fit. You will focus on researching and developing statistically robust signals and models to better understand and predict options market behaviour. Your work will directly inform trading strategies and have a measurable impact on performance. You will also help shape the research direction by exploring new approaches and improving existing methodologies. IMC has strong advantages across market access, technology, and execution, and you will work in a collaborative environment alongside traders and engineers to translate research into production. Develop and test alpha signals and predictive models for Indian options markets Perform large-scale data analysis to uncover patterns and trading opportunities Apply rigorous statistical methods to ensure robustness and reliability of results Build a deep understanding of market behaviour, pricing dynamics, and structural inefficiencies Collaborate with traders and engineers to translate research into production strategies Continuously improve models and identify new areas of research

IMC is looking for an experienced Quantitative Trader to run and grow our Options trading book. If you have a strong track record managing an options book, a sharp instinct for real-time decision-making, and a disciplined approach to risk, this role could be a great fit. You will take ownership of trading decisions and performance of the Options book, using signals, models, and tools developed in collaboration with our research and engineering teams. You will be responsible for pricing, hedging, and managing risk in real time, operating in a fast-paced environment where trading outcomes are immediate and measurable. At IMC, trading performance is highly visible and directly tied to impact. You will play a key role in driving P&L and shaping how we compete in options market making. You will work in a collaborative environment alongside traders, researchers, and engineers, with open idea sharing across teams, desks, and global offices. Own and manage the Options trading book, with direct responsibility for P&L and risk Make real-time trading decisions based on market conditions, volatility, and order flow Dynamically adjust pricing, hedging, and positioning to optimise performance Use signals, models, and trading tools to inform execution and decision-making Provide feedback to researchers and engineers to improve model performance and execution quality Identify trading opportunities and respond quickly to changing market conditions Mentor junior traders and contribute to the development of the desk

Develop reliable and performant trading systems and strategies Design and optimise trading infrastructure to provide a seamless path from research to live trading Partner with the Portfolio Manager to develop frameworks for data validation and monitoring

Own and evolve core post-trade systems covering confirmations, trade support, treasury, corporate actions, reconciliations, limit monitoring and fund accounting Design and implement backend services, APIs and data integrations Build and maintain internal UIs where performance, data quality and usability all matter Work across the full application lifecycle: requirements gathering, design, implementation, testing, release and support Engage directly with business teams to understand requirements and translate them into thoughtful technical solutions Support production systems, investigate issues and implement fixes where required Collaborate through code reviews, design discussions, and knowledge sharing

Design, evolve and maintain distributed, event-driven systems with high reliability, scalability and observability Contribute to technical strategy and long-term platform direction Write high-quality, efficient and maintainable code with accompanying automated tests and documentation across UI, services and data storage layers Continuously improve existing services, libraries and shared components Ensure systems are operable, measurable and resilient, including appropriate monitoring, alerting and failure-handling strategies Work closely with product and business stakeholders to translate high-level problems into thoughtful technical solutions Collaborate with team through active contribution in code reviews, knowledge-sharing and design discussions Build domain knowledge in business and technology areas Evaluate new technologies pragmatically Contribute to CI/CD pipelines, tooling and infrastructure-as-code

Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet our stringent requirements for research and live trading. Designing, implementing, and optimizing robust, production-grade data pipelines to transform raw vendor data into analysis-ready datasets, adhering to software engineering best practices and ensuring seamless consumption by our automated trading systems. Engineering and maintaining sophisticated automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets, directly upholding the quality standards essential for the efficacy of our quantitative strategies. Providing expert operational support for our data pipelines, rapidly diagnosing and resolving critical issues to ensure the uninterrupted flow of high-availability data powering our daily trading activities. Participating actively in team rotations, including on-call schedules, to provide essential coverage and maintain the resilience of our data systems outside of standard business hours.

Conduct in-depth research to identify alpha-generating strategies in MENA equity markets Research and back test systematic trading signals Collaborate closely with portfolio managers, researchers and technologists to develop trading infrastructure and strategies Monitor, analyse and report on strategy performance

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer on the Platform Core Automation team, you'll build the AI infrastructure and agentic systems that automate customer support and compliance operations at Coinbase. This team is reimagining what these processes look like when AI handles them end-to-end, replacing manual workflows with intelligent agents that resolve customer issues and execute compliance tasks autonomously. You'll own the design and delivery of LLM-powered systems, grounding techniques, and integration pipelines that directly reduce resolution times, cut costs, and improve accuracy across millions of customer interactions.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. You'll join the Client Lifecycle pillar within Institutional Foundations, the team that takes institutional clients from application to first trade and keeps them operating independently once they're live. You'll own core backend services spanning onboarding, provisioning, client data, and access controls, directly shaping how every institutional client gets onto Coinbase Prime. Own backend services that move institutional clients from application to first trade, including Unified Business Onboarding, KYC Refresh, and provisioning. Drive onboarding automation including automated screening, risk scoring, and auto-provisioning so low-risk clients complete onboarding without an ops ticket. Lead design and implementation of Organizations Service as the source of truth for institutional client data, including data quality, entity uniqueness, and Salesforce decoupling. Partner with Product, Compliance, Onboarding Ops, Identity, and Prime product teams to ship onboarding and access controls for new products including FCM, Hudson derivatives, and Prime Custody. Shape the access-control stack (roles, permissions, policies, and consensus) so complex institutions can operate on Prime without opening a ticket. Mentor engineers and raise the technical bar through design reviews, incident response, and operational excellence.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.We are seeking a Quantitative Researcher with a strong academic background to a PhD level in a mathematical or science discipline. The role will involve you working closely with other team members to develop models and trading strategies in systematic macro.What You'll Do:Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas. You’ll own research projects end to end, in areas such as predictive modeling, alpha research on new datasets, and improving the models and systems behind live trading. Other duties as assigned or needed.Skills You’ll Need: Currently pursuing a PhD in Statistics, Mathematics, Physics, Machine Learning, or any highly quantitative field Systematic research thinking: the ability to form well-educated hypotheses, design rigorous tests, and draw statistically sound, generalizable conclusions. No matter your area, these are the fundamental aspects of a good researcher, and it is no different at Jump Trading. Ownership of your research: the ability to explain the choices you made, the alternatives you considered and rejected, and why your approach won. Every idea demands a premise, and every rejection deserves a reason Experience conducting an in-depth research project with real-world data Programming experience in Python, with the ability to read, understand, and debug code, including code you didn't write Communicative and collaborative working style, sharing results early and often and treating mentors' time as a resource to use, not conserve Creativity and initiative to explore ideas beyond those suggested…

At IMC, technology is at the core of everything we do. Our in-house software drives millions of trading decisions each day, helping us make faster and more effective decisions in highly competitive markets. IMC’s Mumbai-based Strategy Development teams build a wide variety of applications, systems and tools. These include trading algorithm implementations, option pricing and volatility calculations, simulation frameworks, market risk applications, and trade analysis and visualisation tools for traders. Java is the primary language; we welcome strong engineers from other language backgrounds who are keen to pick it up. You will work closely with traders, quantitative researchers and engineers in Mumbai and across IMC's global offices taking ownership of end-to-end high-impact product development - from requirements gathering through to production deployment and monitoring. You’ll deliver scalable, reliable, high-performance software using frequent iterations to shorten time-to-market, while constantly weighing trade-offs between latency, throughput, simplicity, scalability and maintainability. Key responsibilities include: Collaborate with traders and quantitative researchers to understand trading requirements and translate them into robust technical solutions. Design, build, test and deploy high-performance Java systems and applications. Take end-to-end ownership of projects, including requirements gathering, architecture, implementation, deployment, monitoring and production support. Write reliable, testable and maintainable software while making thoughtful trade-offs between latency, throughput, scalability, simplicity and speed to market. Collaborate with engineering teams across IMC and mentor junior engineers.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

The Quantitative Portfolio Management Analyst role spans a broad spectrum of research, investment, and technical tasks. The successful candidate for this highly competitive position will work closely with a team of Portfolio Managers and other talented Portfolio Analysts to implement the required investment strategies. This involves both validating the inputs to our models as well as the output from the quantitative signals used to make "buy/sell" decisions. The Quantitative Portfolio Management Analyst t will also monitor portfolio risk and country/sector exposures, analyse portfolio returns, and conduct analysis for client communications. ln addition to the day-to-day implementation of the business’ strategies, successful candidates will have the opportunity to contribute to research projects in conjunction with the central research team. Work with Portfolio Managers to validate the inputs and outputs of our investment signals and assist with the day to day management of the portfolio Analyse the output of our portfolio construction process to ensure the integrity of our investment philosophy Work with large data sets and liaise with outside data vendors to identify data quality issues Design tools for evaluating portfolio implementation and performance Assist research teams with enhancing existing signals and creating new signals Conduct analysis for client communication and presentations

Flow Traders is looking for an Experienced Quantitative Researcher who specializes in mid-frequency research to join us in our Hong Kong office. This is a unique opportunity to join a leading proprietary trading firm where quantitative research, technology, and an entrepreneurial culture are at the heart of our business. In this role, you will identify and develop new trading opportunities by leveraging Flow Traders’ advanced research capabilities and quantitative trading platform.

What if your next chess move took you to Amsterdam to play a world-class grandmaster? The Chess Academy Europe is a one-of-a-kind programme open to all students across universities in the EU and the UK, whether you're a seasoned competitor or just love the game. In partnership with Team Liquid, IMC is bringing together the brightest student chess players in Europe for a chance to qualify through an online Swiss-format tournament on Chess.com and, if you advance, travel to Amsterdam to compete in the championship finals against the best student players on the continent. This is more than a chess tournament. It's an opportunity to step inside one of the world's leading trading firms, connect with IMC's traders, researchers and technologists, and experience what it's like to think fast, compete hard, and perform under pressure. These are the skills that define both great chess players and the people who thrive at the world's top trading firms. Compete at the highest level: Qualify through an online Swiss-format tournament on Chess.com and, if you advance, travel to Amsterdam to compete in the championship finals against the best student players in Europe. Play a world-class grandmaster: All finalists take part in a showmatch experience with an elite grandmaster — a once-in-a-lifetime opportunity to sit across the board from one of the game's best. Learn from the best: Finalists will take part in an exclusive masterclass led by top grandmasters, an opportunity to hear how the world's elite players think about the game. Go behind the scenes at IMC: Tour IMC's Amsterdam office and get a firsthand look at the environment where some of the world's fastest and most sophisticated trading takes place. Build your network: Connect directly with IMC traders, researchers, technologists, and recruiters. Whether or not a career in trading is on your radar, this is a rare chance to meet and learn from world-class professionals.

We are seeking an equity risk professional to join the risk group with a primary focus on investment research and analytics and risk oversight for managers on the global discretionary long/short equity platform, with a particular focus on Asia market. The candidate will help to support the long/short business by developing analytics related to risk, performance and process attribution of portfolio managers and analysts. This person will help to build and maintain analytical models used by the management team and proprietary applications, as well as provide daily operational support to the broader team, including researching ad hoc requests from portfolio managers and senior management.

Man Group is one of the world’s largest publicly listed alternative investment managers. The Systematic Securitized Credit team builds systematic trading strategies across securitized products and the fixed-income markets around them, researching markets, signals and portfolio construction to capture returns that are hard to reach and hard to replicate. AI is embedded throughout our workflow, from research to execution. We are looking for a junior quantitative researcher with a background in agency mortgage-backed securities (MBS) and CMOs. You will sit with the portfolio managers and senior researchers who run the strategy, splitting your time roughly evenly between the analytics that inform live trading and your own research into new sources of return. Junior members here own research; they do not only support other people’s. Helping senior PMs & researchers finding new & profitable trading strategies & alphas Researching, scoping, and onboarding new securitized markets and sectors Improving our systematic trading platform for securitized products, following markets & research Doing novel research on trading signals, prepayment modeling, pricing, and hedging Utilizing AI tools across all above responsibilities to make research & trading more efficient & impactful

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. THE ROLE: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new Alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have aresearch scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. ITS IMPACT: As we pursue our goal of creating new Alphas, we need researchers who will lead us there. WorldQuant’s unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our relentless pursuit to succeed. WHAT YOU’LL BRING: Ph.D. or M.S. degree from a leading university in a quantitative or highly analytical field (e.g. – Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering) Ranked in the top 10% of bachelor’s degree class Demonstrated ability…

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. Old Mission is seeking a highly skilled Software Engineer to join our Research Infrastructure team. The team is responsible for managing and maintaining datasets, infrastructure, and libraries that power the firm's research activities across a huge number of instruments in nearly all asset classes - a vast data universe of Equities, Options, Commodities, Bonds, and more. Our day to day consists of handling production issues, developing new datasets, building next-generation infrastructure, and maintaining our data pipelines. This person will sit in our Chicago office. The complexity of data sources presents unique engineering challenges that require innovative solutions that you will help create You will be responsible for designing, building, and maintaining data pipelines and data infrastructure You will help capture, archive, store, and index data for the entire firm You will design and implement big data tooling to support cluster computing and high-throughput computing tasks You will work on solving problems relating to how data is transmitted between C++ and Python Re-architect current APIs to ensure scalability and performance improvements Collaborate in the release process, including rolling out new releases, debugging and maintenance of systems Identify and implement strategies for upgrading the current data storage capacity Use a combination of technical expertise and analytical skills to ensure the efficient and effective functioning of our data infrastructure Focus on solving tough problems using research and data and spend time solving these problems utilizing modern technologies

We are seeking to hire an exceptional individual to join our compliance team based out of London. The role sits within Market Controls & Reporting and combines day-to-day operation of the trade surveillance programme with the oversight and design of the same programme. This role involves safeguarding the firm against reputational and financial risks by conducting comprehensive surveillance across various markets and financial products. The ideal candidate will be highly self-motivated, organized, and attentive to detail. You should be capable of managing a diverse workload and prioritizing tasks in a fast-paced, ever-evolving corporate environment.

Trading Systems runs the infrastructure Flow Traders trades on: the global Linux fleet — trading servers, workstations and VDIs — and the multi-cloud and distributed-systems estate that sits alongside it. We also build and run the self-service infrastructure platform the rest of Technology depends on. We are hiring two engineers into this team. This is a hands-on engineering role: most of your time goes on writing Terraform, building CI workflows and guardrails, automating toil out of the Linux fleet, and operating what you build. A lot of the shared tooling does not exist yet, and building it is the job rather than a side effect of it. The environment is trading-critical and runs across both on-premise infrastructure and public cloud, and you will work on both sides of that line rather than specialising in one. To be clear about the shape of the seat: this is build-and-operate rather than architecture, strategy or management. There is architecture in it, but the bulk of the work is hands-on and there are no direct reports. A solid Linux foundation is essential across the whole role — it underpins both sides of the estate, and the cloud, container and Kubernetes work rests on it just as much as the on-premise fleet does.

Flow Traders is looking for a PhD Graduate Quantitative Researcher to join the quantitative trading team at our Hong Kong office. This is a unique opportunity to join a leading proprietary trading firm, working alongside some of the brightest minds in the industry. As a firm, we are committed to leveraging advances in computer science, statistics, and machine learning to generate value in the financial markets. A successful Quantitative Researcher is an expert in mathematics and statistics, passionate about translating challenging quantitative problems into equations and models, and skilled at optimizing them using cutting-edge computational techniques. If you're at the top of your quantitative, modeling, and coding game, and excited to test these skills in competitive live markets, this opportunity is for you.

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our technology group is constantly improving our company’s technology infrastructure, positioning us at the forefront of a rapidly evolving technology landscape.We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. The Back Office Technology Team supports trade processing, position keeping, clearing/settlement, fund accounting, trade reconciliation and prime broker integrations. The team partners with Middle and Back Office business users to customize and implement solutions supporting trade processing and new business developments.

Flow Traders Hong Kong is looking for a Senior C++ Software Engineer to lead the next-generation architecture of the market data and execution platforms that power our fully systematic trading. We don't treat market data as plumbing - for us it's a source of alpha, where feed handling, order book construction, and a deep understanding of exchange microstructure are themselves a competitive edge. We're looking for a senior individual contributor who has lived this philosophy in a proprietary or systematic trading environment and can squeeze every nanosecond out of the path from wire to strategy. As a senior individual contributor, you'll be working on the Core Platform that underpins quantitative research, pricing, strategy development, and execution across hundreds of venues. You'll work in a tight, iterative loop with quants and technical traders, applying deep expertise in modern C++, OS internals, CPU and memory architecture, lock-free concurrency, and low-latency networking to push our systems toward state-of-the-art performance, robustness, and observability.

Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d’expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d’ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d’échelle qui proviennent d’une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l’accélération matérielle et de l’apprentissage automatique. Notre investissement continu dans les meilleurs talents d’ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d’évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l’accès au marché, les données, le calcul et l’infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises permettent à nos équipes de négociation et d’ingénierie de donner le meilleur d’elles-mêmes. À Tower, les employés trouveront un environnement stimulant et axé sur les résultats où des collègues très intelligents et motivés s’inspirent mutuellement pour atteindre leur plus grand potentiel. Optimizing systems by using network and systems programming, as well as other advanced techniques to minimize latency Designing, building, and leveraging systems to collect, analyze, and visualize large amounts of data Building data pipelines to capture reference and market data and developing systems that provide fast and easy access to them Building trading systems for algo trading Enhancing the efficiency of trading operations by developing (AI assisted) automation solutions and products

The Research Engineering team develops and deploys the pipelines connecting a research idea all the way to its rollout in production. We exist to ensure that the entire pipeline describing our research is efficient, effective, and scalable. People in our team are avid collaborators and work in tight feedback loops with our researchers. We talk through problems on desk, prepare solutions same day, and work out how to deploy safely for tomorrow. The scope of the team covers anything that accelerates the path from research to production at massive scale. This could be designing our external data ingestion pipelines, writing our feature discovery and storage systems, building our model validators and experiment trackers, authoring and deploying a bespoke algorithm, or figuring out how to roll out something novel. We use a broad toolkit including Python, C++ and internal domain-specific languages, and are happy to pick up new tools and languages as required.

The Research Engineering team develops and deploys the pipelines connecting a research idea all the way to its rollout in production. We exist to ensure that the entire pipeline describing our research is efficient, effective, and scalable. People in our team are avid collaborators and work in tight feedback loops with our researchers. We talk through problems on desk, prepare solutions same day, and work out how to deploy safely for tomorrow. The scope of the team covers anything that accelerates the path from research to production at massive scale. This could be designing our external data ingestion pipelines, writing our feature discovery and storage systems, building our model validators and experiment trackers, authoring and deploying a bespoke algorithm, or figuring out how to roll out something novel. We use a broad toolkit including Python, C++ and internal domain-specific languages, and are happy to pick up new tools and languages as required.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reach users. Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design.

Squarepoint Services US LLC seeks a Quantitative Researcher - Discretionary Oil for its Houston, Texas location. Duties: Design, develop, and refine fundamental supply-and-demand models for global crude oil markets, incorporating econometric techniques, statistical forecasting methods, and domain-specific variables such as production capacity, refinery utilization, inventory dynamics, trade flows, and geopolitical risk factors to generate actionable market outlooks for the trading desk. Architect and enhance proprietary quantitative analytics and data visualization tools using Python, SQL, and statistical libraries, enabling the desk to semi-systematically evaluate trade hypotheses, backtest market signals, and identify dislocations across derivatives oil complex. Conduct rigorous, time-sensitive quantitative analyses of short-term market dislocations, including supply disruptions, regulatory shifts, policy changes, and data releases, synthesizing structured and unstructured data sources to formulate probabilistic trade recommendations with defined risk-reward parameters. Develop and implement semi-systematic data validation frameworks to assess the integrity, completeness, and timeliness of proprietary and third-party commodity market datasets, applying statistical anomaly detection methods to identify and remediate data quality issues. Oversee and optimize automated data ingestion and transformation pipelines for fundamental market data, ensuring reliable integration of heterogeneous data sources into the desk's modeling and analytics infrastructure. Independently formulate and present proprietary trade ideas to senior traders and portfolio managers by synthesizing outputs from fundamental supply-demand models, applying advanced statistical reasoning and domain expertise in global oil markets to identify asymmetric risk-reward opportunities across the physical and derivatives crude oil complex. Requirements: Must have a minimum of a Master’s degree or foreign equivalent in Financial Engineering and 1 year of experience as a Graduate Quantitative Researcher, Junior Fundamental Analyst, or related position for an investment/asset management organization. Must have at least one (1) year of employment experience with each of the following required skills: Modeling using Python; Supply and Demand Modeling for Cushing, Canada, and USGC Crude; Curating, analyzing, transforming, storing, and documenting unique data sets for the purposes of supply and demand construction; and applying Quantitative standards to research and documenting results

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. Build software applications, integrations with SaaS solutions, and deliver enhancements for projects supporting enterprise systems mainly HR, Payroll, Finance and internal P72 teams. Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies. Be responsible for system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external vendors and services. Contributing to architecture of core platforms and accelerating modernizing leveraging AI tools Work with DevOps teams to manage and resolve operational issues and leverage CI/CD platforms while following DevOps practices within the team and projects. Continuously improve the platforms using the latest technologies and software development ideas. Participate in initiatives to transition legacy applications to cloud platforms, enhancing stability, scalability and performance of the existing platform. Develop close working relationships and collaborate with other technology teams to deliver cross-departmental initiatives.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs. Software Engineering Internship (London) *NOTE - We accept students needing placements or otherwise extended internships. We also allow internships to take place during a non-summer term (for example - the winter, spring, or fall months) if preferable when it makes sense.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line. As a Data Scientist in the consumer org, you'll apply these skills to improve the customer experience across Coinbase's consumer products—spot and advanced trading, yield, Coinbase One (CB1), international expansion, and new launches (including prediction markets and equities trading). You'll define and instrument key metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements.

We are seeking an exceptional intern to join our Discretionary Macro Fixed Income (DMFI) Quant team in London where you will have an opportunity to meaningfully contribute to building and enhancing our derivatives pricing and risk infrastructure, delivering solutions that directly impact our trading operations across multiple asset classes.

We are seeking a driven Java engineer to join our global research platform team in Mumbai. The team builds and operates the compute and data platform that powers all of IMC's quantitative research: a large-scale Kubernetes-based research cluster, a distributed job scheduling platform used by every trading and research team, and the market-data and dataset services that feed research on it. Mumbai runs one of the platform's regional production deployments, and you'll collaborate closely with platform colleagues in Amsterdam, Chicago and Sydney. Design, build and operate the Java backend of our distributed job scheduling platform: the job controller and state machine, scheduling integrations, resource and cost tracking, and the failure-recovery machinery that keeps research workloads running at scale Develop gRPC/protobuf APIs consumed by Python, Java and C++ clients across the firm Build event-driven services on Kafka for job lifecycle tracking, data lineage, and dataset orchestration Work hands-on with Kubernetes at scale: pod scheduling, fair-share queueing, preemption and multi-cluster placement Instrument, monitor and firefight production systems, and drive root-cause analysis of performance bottlenecks Support and consult research users in the India office

Flow Traders is looking for a Senior Quantitative Researcher to join our Digital Assets business. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and quantitative culture at the heart of its business. As a firm, we are committed to leveraging advances in computer science, statistics, and machine learning to generate value in the financial markets. As a Senior Quantitative Researcher, you will be responsible for expanding our Digital Assets trading capabilities by leveraging Flow Traders’ cutting-edge research and quantitative trading platform.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Frontend Software Engineer on the Financial Services & Loyalty team within the Consumer & Business group, you'll build and ship the user-facing experiences that power Coinbase's card, payments, and loyalty products for millions of customers. This team owns the end-to-end frontend for products like the Coinbase One credit card, crypto-back rewards, and consumer payment flows. You'll own features from technical design through production release, working closely with product, design, and backend engineering to deliver fast, reliable, and intuitive experiences that drive activation and retention. Own end-to-end frontend development across web and mobile for financial services products using React and React Native, including card onboarding, rewards, transactions, and payment flows. Build new features that expand the value proposition of Coinbase's loyalty and card products, shipping high-quality code that directly impacts customer engagement and revenue. Drive experimentation and funnel optimization efforts that measurably improve conversion, activation, and retention across key user journeys. Partner cross-functionally with product, design, and backend engineering to translate requirements into polished, performant frontend experiences. Identify and resolve frontend performance bottlenecks, contributing to measurable improvements in CUJ latency and availability SLOs.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Our Core Engineering department is seeking a Software Engineer to join the Data team in Hong Kong. This person will work closely with the Data Services Team, Portfolio Management Teams, and other IT teams to ensure the reliability, security, and scalability of our data systems. Designing, implementing, and maintaining the infrastructure necessary to support the firm's data management processes, including storage, compute, and networking resources at a large scale (petabytes, tens of thousands of simultaneous requests) Designing, building, and maintaining the data pipelines and systems necessary to support the firm's fundamental data analysis and trading strategies Collaborating with data scientists, portfolio managers, and traders to understand their data requirements and developing solutions to meet their needs

Tower Research Capital est une société renommée de négociation quantitative fondée en 1998. Tower a fondé ses affaires en se basant sur une plateforme à haute performance et sur des équipes de négociation indépendantes. Nous avons plus de 25 ans d’expérience en innovation et une réputation de découvrir des occasions uniques sur le marché. Tower abrite certains des meilleurs talents mondiaux en matière de négociation systématique et d’ingénierie. Nous permettons aux gestionnaires de portefeuille de bâtir leurs équipes et leurs stratégies de façon indépendante tout en offrant les économies d’échelle qui proviennent d’une grande organisation mondiale. Les ingénieurs prospèrent chez Tower tout en développant une infrastructure de négociation électronique à un niveau de classe mondiale. Nos ingénieurs règlent des problèmes complexes dans les domaines de la programmation à faible latence, de la technologie FPGA, de l’accélération matérielle et de l’apprentissage automatique. Notre investissement continu dans les meilleurs talents d’ingénierie et dans les meilleures technologies garantit que notre plateforme demeure inégalée en termes de fonctionnalité, d’évolutivité et de performance. À Tower, chaque employé joue un rôle dans notre réussite. Nos équipes de soutien aux entreprises sont essentielles à la création et à la maintenance de la plateforme qui alimente toutes nos activités : elles réunissent l’accès au marché, les données, le calcul et l’infrastructure de recherche à la gestion des risques, la conformité et une gamme complète de services aux entreprises. Nos équipes de soutien aux entreprises permettent à nos équipes de négociation et d’ingénierie de donner le meilleur d’elles-mêmes. À Tower, les employés trouveront un environnement stimulant et axé sur les résultats où des collègues très intelligents et motivés s’inspirent mutuellement pour atteindre leur plus grand potentiel. Ce poste s’inscrit dans le programme de rotation de Tower et offre une expérience pratique au sein de plusieurs équipes d’ingénierie. Grâce à des ateliers ciblés, à une formation structurée, à du mentorat et à des contributions directes aux systèmes de négociation en production, vous développerez une connaissance approfondie de notre architecture. Dans un délai de deux ans, ou plus tôt, vous intégrerez de façon permanente l’équipe qui correspond le mieux à vos compétences. Evolve the trading platform to support the changing needs of quantitative research, simulation, and production trading, with particular emphasis on market data and execution systems. Partner closely with quantitative researchers, traders, and software engineers to design, implement, and deploy systematic trading strategies. Design and develop high-performance trading infrastructure responsible…

The BP&A Team sits at the heart of our operations, partnering closely with finance, trading, and middle office teams. We serve as the business intelligence and analysis function for IMC to turn complex data into insights that drive real decisions. This role also connects you with colleagues across Chicago, Amsterdam, and Sydney, all part of a truly global team reporting into a Global Lead. We're looking for a Software Engineer who loves back-end development and wants to help build the tools and systems that power our business - front-end or UI/UX experience is a bonus. Own meaningful pieces of system development, maintenance, process improvement, and automation, plus dig into database and front-end work along the way Team up with BI developers to shape best practices, and partner directly with finance, operations, and trading teams to keep the BP&A ecosystem running smoothly, reporting to the local lead Build tools that make things faster and smarter - boosting efficiency, streamlining data processing, and cutting load times Build high-end dashboards and visualization tools for stakeholders globally Work with large data sets and data pipelines that support storage, retrieval, and analysis across the finance organization

Flow Traders is looking for experienced Software Engineers to join our growing Development team in Amsterdam. This is a unique opportunity to work at a leading proprietary trading firm where entrepreneurship, innovation, and technology are at the heart of everything we do. We value sharp, creative thinkers and give them the freedom and responsibility to make a real impact. As a Software Engineer at Flow Traders, you will build the systems that power our global trading business and help us compete on exchanges around the world. The work is varied and challenging, ranging from systems operating on or near the critical path, such as receiving market data and placing orders, to platforms that process vast amounts of data with exceptional reliability, performance, and traceability. You will play a key role in advancing our proprietary trading platform by developing efficient, high-performance software, designing innovative solutions, and strengthening existing systems with a focus on low latency and stability. Since markets never stand still, we work in small, business-aligned teams and use agile practices to respond quickly to change. You will work closely with Trading every day, creating fast feedback loops and a clear view of the value your work delivers. To support collaboration and encourage autonomy, we build and maintain shared libraries, promote code reuse, and continuously refine our approach to application architecture.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. We're hiring a Staff Software Engineer to join the Wallets, Liquidity & Bridging team within the Platform organization. This team builds and operates the wallet systems, liquidity orchestration, and bridging infrastructure that power how Coinbase moves crypto assets across 55+ blockchain protocols for millions of users. You'll own the architecture and technical direction of these systems, driving the next generation of wallet infrastructure that constructs, signs, broadcasts, and reconciles on-chain transactions with the speed, reliability, and security our customers expect. Own the technical strategy, architecture, and roadmap for Coinbase's wallet, liquidity, and bridging systems, defining how these platforms evolve to support new chains, assets, and product use cases at scale. Build and evolve the distributed backend systems (Go) that orchestrate liquidity movements, cross-chain bridging, and transaction lifecycle management across custodial and non-custodial flows. Drive service-oriented architecture improvements by decomposing legacy systems into modular, reusable platform services that reduce complexity and accelerate integration for downstream product teams. Partner with Trading, Custody, Staking, and cross-platform engineering teams to define integration contracts, resolve cross-team dependencies, and align wallet infrastructure with company-wide architectural standards. Lead reliability and operational excellence for wallet services, owning observability, incident response, and systemic improvements that prevent recurring failures across Tier-0 systems. Shape engineering standards and technical culture across the team and broader Blockchain Platform organization through design reviews, architectural RFCs, and mentoring engineers on best practices.

This event is only for people who got personally invited to attend Our London office is growing, and FX and commodities sit at the centre of that growth. On Thursday 1 October we're opening the doors to 25 final-year and Masters students who want to see how a market maker actually works.

We are seeking a junior Execution Trader to support the trading procedures across equities, futures, and FX markets. The primary responsibility of this role is the accurate and timely execution of trading instructions while adhering to established processes, controls, and risk guidelines. Execute trades across stocks, futures, and FX products in accordance with trading instructions and established procedures. Monitor orders and execution outcomes to ensure accuracy and completeness. Follow operational workflows, risk controls, and compliance requirements with a high degree of diligence. Maintain accurate records and assist with post-trade processes when required. Continuously seek to improve execution quality and operational efficiency while adhering to existing standards and controls.

Develop and improve quantitative investment strategies in equity markets within the Strategic Alpha Research team (SAR). Work across the full research lifecycle – from idea generation and data sourcing, through signal construction and testing, to portfolio construction and trade execution – supporting both new and existing strategies. The responsibilities include: Identifying new investment ideas or innovative data sources; Sourcing, gathering and refining complex data for modeling; Coding and performing statistical/ML analysis to build, test and refine predictive models; Interpreting, presenting, and implementing the results; Conducting research on various implementation aspects of investment strategies such as trading cost models, risk models, optimization, and portfolio construction. Contributing to the firm’s broader research agenda by collaborating with adjacent research teams, such as fixed income and macro, to share techniques, data and insights.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Being a subject matter expert, functionally and technically, to deliver security referential data needs for Tower’s global trading footprint Analyzing production issues and implementing corrective measures to prevent them from recurring Identifying various operational inefficiencies and developing automation efforts as part of the continuous improvement of the platform Interacting with trading teams and users to handle issues Strengthening and maintaining Tower’s security referential infrastructure to address trading and back-office needs Taking end-to-end ownership: development, testing, release, and support

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. Monitor execution across equities, FX, Futures and other asset classes, trading in different regions. Provide first-line support for any issues arising from the automated execution flow. Conduct project work in areas including adding new liquidity to the execution platform and reducing the cost of implementing WorldQuant’s models. Analyze large datasets to guide further automation and refinement of execution desk processes. Interface directly with Portfolio Managers, Brokers,…

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer on the Data Platform team within the Platform group, you will help build the systems that centralize all of Coinbase's internal and third-party data. The Data Platform team makes it easy for teams across the company to access, process, and transform data for analytics, machine learning, and powering end-user experiences. You'll contribute to the full spectrum of our systems, from foundational data storage and processing to scalable pipelines, frameworks, and internal applications that make data efficiently available to every team at Coinbase. Own the design, development, and operation of foundational data services spanning cloud data warehouses, data lakes, orchestration (Airflow), batch processing (Spark, SQL), streaming (Kafka), query federation, and real-time event aggregation stores. Build and maintain data integration and processing SDKs used by internal services and product teams throughout Coinbase to interact with the data platform reliably at scale. Deliver self-service applications that empower users to manage, monitor, and troubleshoot their own data pipelines running on our platform infrastructure. Architect end-to-end data security and observability services, including access controls across multiple storage and access layers, data quality tracking, dataset cataloging, lineage, and usage auditing. Partner with data analysts, ML engineers, and security and compliance teams to convert functional requests into reusable, scalable patterns and assemble data microservices into platforms for critical business verticals.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Coinbase’s Developer Infrastructure group builds the systems every Coinbase engineer relies on to write, validate, ship, and run code. We own the path from commit to production, including CI and build infrastructure, deployment platforms, and test systems that give engineers fast, trustworthy feedback. We’re hiring Senior Software Engineers across several teams in the group, and you’ll be matched to the team that best fits your strengths and interests. Wherever you land, you’ll build and operate foundational platform services used across Coinbase engineering, where improvements in build speed, deploy safety, and test reliability scale across thousands of engineers. This is high-leverage systems work with a high bar for reliability and security.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: This is a highly unique opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data across multiple global markets, while owning the full lifecycle of a signal, forming a hypothesis about what market behavior predicts, engineering it into a feature, validating it with data, and shipping it into a production research platform. This is a research-focused data science role with meaningful hands-on coding and implementing signals within our internal framework. Research and engineer features from raw, high-frequency market data, translating market behavior hypotheses into quantitative signals. Implement signals within our internal simulation/backtesting framework, iterating between exploratory data analysis and framework-based implementation. Validate features through backtesting across historical data, checking behavior across different markets, regimes, and edge cases (e.g., market open/close, low-liquidity periods). Collaborate with research and engineering teams to align on implementation approaches, validation standards, and research decisions. Explore new and existing data sources to identify candidate signals worth developing further. Becoming a domain expert on different deep learning and machine learning applications for high frequency data, analyzing & understanding the underlying dynamics, market microstructure and behaviors within the data. Develop insights based on the data and collaborate with the research team to generate tradable Developing the utility tools that can further automate the software development, testing and deployment workflow.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are looking for a Junior Quant Developer to join the Book Platform and Operations Team team. This is an ideal opportunity for a technically strong, early-career candidate who enjoys solving real problems and wants to make a direct and tangible impact on the business. You will work alongside expert developers and portfolio managers, building systems, interfaces, and tools that support day-to-day portfolio management operations. We value clear thinking, strong fundamentals, and a proactive attitude over years of experience. Contribute to the design, development, and maintenance of systems, interfaces, and tools that support portfolio management workflows Collaborate with portfolio managers and developers to understand requirements and translate them into practical solutions Identify, investigate, and resolve issues in existing tools and infrastructure Monitor and support production systems, responding to incidents and ensuring reliability Contribute to code reviews, testing, and technical documentation Continuously improve team productivity by maximising modern development tools and practices

We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production. We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

At Jane Street, quantitative traders identify market signals, analyse and execute strategies, construct quantitative models, conduct statistical analyses, build algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are central to our collaborative and cooperative office environment. You can expect to work side by side with experienced traders who are committed to teaching, guiding, and supporting our newest hires. Through hands-on, interactive training, you’ll acquire significant trading responsibilities within weeks to months of being on the desk. In parallel, you will participate in our robust year-long firmwide educational curriculum. At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Payments Risk Analyst I on the Payments Risk team, you'll serve as the first line of defense against payments fraud across Coinbase. This team reviews escalated accounts, identifies fraud patterns, and strengthens the controls that protect millions of customers from chargebacks, ACH abuse, wire disputes, and account takeovers. You'll own end-to-end fraud investigations, surface insights that sharpen our detection logic, and drive process improvements that reduce risk exposure at scale. Own detailed investigations of escalated customer accounts to identify and mitigate payments fraud risks, including chargebacks, ACH returns, wire disputes, and account takeovers. Analyze fraud trends and patterns in payment activities, delivering actionable insights to Payments Risk leadership that improve detection accuracy. Partner with the Payments Risk investigations team to provide feedback on rule performance and risk logic, strengthening our automated defenses. Drive process improvements by identifying workflow inefficiencies and recommending changes that reduce risk exposure and increase operational throughput. Support the development and documentation of review processes to scale operational efficiency as transaction volumes grow.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer on the Blockchain Networks team within the Platform group, you'll build the critical infrastructure that integrates blockchain protocols with Coinbase's internal services for new assets, stablecoins, and staking. This team translates complex blockchain operations and state machines into simple, reliable APIs that product teams across Coinbase depend on. You'll own multi-quarter technical initiatives and ship platform primitives that directly improve the latency, reliability, and cost of our crypto stack. Own the design and delivery of blockchain network infrastructure that abstracts blockchain complexity into reliable, platform APIs Lead multi-quarter initiatives including new chain integrations, re-architecture efforts, and data migrations that improve system latency, reliability, and cost Define and maintain APIs, SLOs, and observability for the systems you build, including on-call ownership Partner with product and platform teams to establish data contracts and ship SDKs and platform primitives that drive adoption across Coinbase Build deep technical context across multiple top blockchain protocols (e.g., Bitcoin, Ethereum) and apply that knowledge to simplify cross-chain operations

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer on the Core Infra Systems team within the Platform group, you'll work across the cloud and networking foundations that Coinbase engineers rely on to run reliably at scale. The team owns the front door for GCP paved roads, cloud networking, and AWS-centered infrastructure patterns, with a focus on standardization, self-service, and strong default guardrails. You'll work closely with the AWS, GCP, and Networking owners inside Core Infra Systems and partner with Compute, Infra Security, Routing, and broader infrastructure stakeholders to deliver secure, scalable, and opinionated infrastructure that keeps Coinbase fast and resilient. Own cross-cutting infrastructure initiatives that span the AWS, GCP, and Networking pillars inside Core Infra Systems, driving alignment on standards, tooling, and operational patterns. Build and maintain self-service tooling and paved-road defaults that let product teams provision and operate cloud infrastructure safely without deep platform expertise. Partner with Compute, Infra Security, and Routing teams to embed guardrails into infrastructure provisioning, ensuring every default meets Coinbase's bar for security, compliance, and reliability. Drive infrastructure standardization across Coinbase's multi-cloud environment, reducing fragmentation and improving consistency in how teams consume cloud networking, compute, and shared platform primitives. Lead technical investigations and operational improvements across infrastructure boundaries, working with broader stakeholders to resolve systemic issues and scale foundational systems.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. We're hiring a Senior Staff Software Engineer (Uber Tech Lead) for Identity & Access Management within Platform and own the technical strategy that unifies human, AI agent, service, and workload identity into one coherent platform. IAM is a distributed problem across 700+ internal systems that no central team can implement alone, so this platform must make access consistent, visible, provable, and efficient across every identity type. You'll set architecture across multiple pods, drive adoption with hundreds of engineering teams, and act as one of the most senior technical voices for identity and access management at Coinbase. Own the multi-year technical strategy for IAM end to end, including the architecture that unifies workforce, AI agent, and service/workload identity under a common model with shared primitives for authentication, authorization, provisioning, and governance. Drive architecture decisions across multiple pods and teams you don't manage - establishing the standards, review bars, and integration contracts the rest of engineering builds against. Build the adoption strategy for 700+ systems, including sequencing, migration paths, and build-vs-buy decisions that determine what we own versus integrate. Partner with Security, Compliance, IT, Infrastructure, and product engineering leadership to translate audit and regulatory requirements (UAR, SOX, SOC 2) into automated controls and self-generating evidence. Lead the data model and tooling that answer "who has access to what, and why" across a heterogeneous estate, reducing standing privilege while making the secure path the fast path. Grow the technical bench by mentoring staff and senior engineers and raising the org's depth in identity as a domain.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Coinbase's Developer Infrastructure group builds the tools and platforms that every Coinbase engineer relies on to build, test, ship, and operate software. Our teams collectively own the path from commit to production — scalable CI and build infrastructure, the platform that moves code safely to production, and the test infrastructure that gives engineers fast, trustworthy signals. We're hiring Software Engineers across several teams in the group, and you'll be matched to the one that best fits your strengths and interests. Wherever you land, you'll help build and operate foundational platform services used by all of Coinbase engineering, where a single improvement compounds across thousands of engineers. This is high-leverage systems work at a financial-grade reliability and security bar. Build, ship, and help operate features and components of core developer-infrastructure services — spanning CI and build systems, deployment orchestration, and test infrastructure — that are fast, reliable, and secure by default at Coinbase scale. Contribute to improvements in the metrics every engineer feels: build and CI wall time, deploy speed and safety, and test feedback time and flakiness. Own well-scoped components end to end — from implementation through testing, rollout, and monitoring — and participate in your team's on-call rotation. Write high-quality, well-tested, observable code, and build for production from day one. Collaborate with engineering teams across Coinbase (your customers) to understand pain points and translate them into concrete platform improvements. Contribute to technical design discussions for team projects, and independently drive your own work items to completion. Grow your impact by sharing knowledge, giving thoughtful code reviews, and raising the quality bar around you.

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. Old Mission is looking for a Junior Trading Ops/DevOps Engineer to join our growing team in Chicago. You'd work within the technology landscape safeguarding the performance and stability of proprietary trading systems and related hardware, with direct ownership of technical issues in in-house trading applications. The role blends SRE, Operations Engineer, and DevOps Engineer responsibilities. Deploy, run, and monitor production latency-sensitive trading applications Automate trading infrastructure/application management in Python Triage and resolve live incidents in a fast-paced trading environment Create and integrate monitoring and alerting Work with Linux, network, and datacenter engineers to troubleshoot issues and optimize trading performance Assist with rollout of new products, systems, and exchanges Conduct user acceptance testing across internal trading application stacks Review incidents for recurring themes and feed technical requirements back into the development cycle

We are seeking exceptional PhD candidates to join our Quant Resource team in the London metro area where they will work with other Quant Researchers and Quant Developers on building and enhancing our firm-wide pricing and analytics infrastructure. Interns will contribute to the design and implementation of pricing models, numerical methods, and the core analytics library that powers trading decisions across multiple asset classes. This is an opportunity to build foundational tools that directly impact our quantitative trading business and support its growth and diversification.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. This is a 12-week internship during summer 2027. As a Data Engineer Intern within the Platform product group, you'll partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across Coinbase. You'll work alongside senior engineers and cross-functional partners in product and engineering to ensure data accuracy, scalability, and accessibility for analytical and machine learning use cases. Build and maintain data pipelines that ensure data integrity and accessibility for analytics and machine learning workloads Support the development of scalable data infrastructure using Python and cloud-based technologies Integrate and manage data from multiple sources, including internal systems and external APIs Contribute to analytical deep dives with senior team members, translating findings into clear documentation and recommendations Learn and apply data engineering best practices including data governance, security, and performance optimization

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. This is a 12-week internship during summer 2027. You'll join Coinbase's Machine Learning team and work alongside senior engineers building ML models and pipelines that make our platform more secure, personalize user experiences, and unlock new use cases for crypto. As an MLE intern, you'll take ownership of a research-to-production project, applying cutting-edge ML techniques to real-world problems at blockchain scale. Develop, deploy, and operate machine learning models and pipelines at production scale Drive an end-to-end research project applying modern ML techniques to solve a defined business problem Partner with senior engineers and product teams to identify new ML applications for blockchain and crypto use cases Present findings and recommendations to cross-functional stakeholders at the conclusion of your internship

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. This is a 12-week internship during summer 2027. You'll join Coinbase as a software engineer intern and help build the next generation of crypto-forward products and features. You'll solve large-scale, complex technical problems at the intersection of web-scale applications and blockchain technology, shipping real code that impacts millions of users. During the application process, you'll select your preferred team from the groups below. Your application will be primarily considered for your selected team in the specified location. Following the hybrid internship, any full-time return opportunity would be remote-first. Write high-quality, well-tested code that ships to production and directly impacts Coinbase customers. Collaborate with engineers, designers, and product managers to turn technical and product vision into delivered features. Participate in code reviews, providing and receiving feedback that raises the quality bar for your team. Own a defined project end-to-end, from scoping through implementation and launch, within your 12-week internship. Learn and apply crypto and blockchain domain concepts to real engineering problems in a production environment.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Join the Money Movement team within the Developer product group and help build the infrastructure powering the future of global payments. CDP brings together payments, trading, wallets, and stablecoins through a single onboarding flow and self-service APIs. You'll design and build backend systems for stablecoin-based pay-ins, payouts, deposits, and withdrawals, enabling fast, secure, and scalable transfers that underpin how value moves across the Coinbase ecosystem and beyond. Own key projects end-to-end as the Directly Responsible Individual, driving stablecoin-based money movement features from system design through production deployment with high accountability. Build backend systems, infrastructure, and internal/external APIs that enable businesses and partners to embed stablecoin-powered payments into their products. Partner with Product, Design, Infrastructure, and Compliance to translate requirements into robust, scalable solutions that balance speed, security, and regulatory needs. Execute performance, scalability, and reliability improvements across distributed systems, identifying bottlenecks and driving fixes before they impact customers. Support the team's engineering quality through code reviews, architectural best practices, and contributing to patterns that raise the technical bar.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. This is a 12-week internship during summer 2027. As a User Research Intern, you'll join our User Research team to help researchers, designers, and product managers understand user needs across products like Coinbase Cloud and developer tools. You'll tackle complex product problems, craft research reports that drive design and product decisions, and build foundational skills in UX research at scale. Own one or more research projects alongside researchers, designers, and product managers to investigate a product problem or area Plan and execute research to solve complex, ambiguous product questions using appropriate methodologies Deliver research reports that clearly communicate findings and provide actionable design and product recommendations Partner with cross-functional teammates to translate user insights into thoughtful product experiences that help people engage with the crypto economy

Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Contributing to strategic initiatives that automate and manage Tower’s global production environment. Building products and automation solutions across web applications (frontend and backend), stream processing, microservices, and databases. Collaborating with cross-functional technical teams to design, implement, and enhance solutions for trading infrastructure and operational challenges. Participating in the developer on-call rotation to support SEFO-provided solutions and ensure production reliability. Developing technical documentation, defining specifications, and contributing to architectural decisions to continuously evolve platform capabilities.

We are seeking exceptional PhD candidates to join our Quantitative Research teams in the Miami metro area where they will work with other researchers and developers on various research projects, including the design of novel predictive signals and the enhancement of our algorithms for prediction, trade execution, portfolio construction, risk management, among others. Interns will have an opportunity to meaningfully contribute to all facets of running a successful quantitative trading business and help it grow and diversify.

We are seeking exceptional PhD candidates to join our Quantitative Research teams where they will work with other researchers and developers on various research projects, including the design of novel predictive signals and the enhancement of our algorithms for prediction, trade execution, portfolio construction, risk management, among others. Interns will have an opportunity to meaningfully contribute to all facets of running a successful quantitative trading business and help it grow and diversify.

We are seeking a highly qualified DMFI Risk Analyst Summer Intern to join our DMFI Risk team in London. This team is responsible for helping management and portfolio managers within DMFI (Discretionary Macro Fixed Income) think about different dimensions of risk.

We are excited to offer an opportunity for exceptional individuals to join the internship program at Schonfeld. You’ll spend ten weeks with an experienced software engineering team within the Schonfeld Technology division where you will be immersed in the culture and atmosphere of Schonfeld, working alongside talented professionals on high profile projects. Software Engineers at Schonfeld take on a wide range of responsibilities and challenges. They design, develop, deploy and support existing applications as well as new features and platforms. They participate in an Agile framework, continuously improving and expanding platform capabilities.

Research, develop and implement trading strategies. Contribute to AHL's overall research effort by collaborating with teams across AHL. Follow industry/academic literature for innovations and suggest how AHL can profit from this. Apply quantitative techniques and market intuition to large, often novel or unconventional, datasets and cultivate areas of expertise along the way. Contribute to the business' overall research effort by interacting with and collaborating with other research teams.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer on the Exchange team within the Institutional product group, you'll build and operate the real-time trading systems that power Coinbase's institutional exchange - matching engines, order management, market data, and funding rate computation. This team owns the core infrastructure that clears billions of dollars in daily volume for the world's largest financial institutions. You'll write performance-critical code, own system reliability end to end, and ship features that directly expand Coinbase's trading capabilities. Build and operate low-latency, event-sourced trading systems spanning matching, order entry, risk, and market data across cloud and colocated environments. Own the reliability and correctness of production systems processing high-throughput financial data 24/7, including incident response and failover design. Partner with Product, Infrastructure, and senior engineering leadership to translate strategy into quarterly deliverables and well-scoped milestones. Drive technical design decisions within your domain, producing clear proposals and building consensus with peers and tech leads. Write high-quality, well-tested code in a performance-critical backend environment (Java, C++, or Go), with a focus on latency and throughput.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Coinbase is building the future of institutional trading as part of the Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As a Senior Data Engineer, Market Data on the Institutional Markets team, you'll build and operate the systems that capture, normalize, and distribute real-time market data across Coinbase at low latency - the feed handlers, venue connectors, and distribution layer that form the backbone of a unified trading platform. Build and maintain market data components including feed handlers, normalization pipelines, distribution systems, and venue connectivity. Design and implement low-latency, high-throughput services for real-time market data consumed by trading systems across the platform. Drive reliability and performance improvements through observability, on-call participation, and incident response. Write high-quality, well-tested code and contribute to engineering standards on a lean team. Partner with engineers, product managers, and cross-functional stakeholders to deliver market data capabilities that support Coinbase's institutional trading roadmap.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Coinbase is building the future of institutional trading as part of the Institutional Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As a Senior Staff Software Engineer on the Exchange team, you'll set the architectural direction for the matching engine, order management, market data, and unified trading systems that clear billions of dollars in daily volume. You'll operate as the most senior technical voice across multiple teams, making the calls on latency, correctness, and resilience that everything else depends on. It's a rare chance to shape a trading platform from the ground up, with the ownership of a startup and the reach of Coinbase. Own the technical strategy and architecture for a core Exchange domain, driving multi-quarter initiatives from ambiguity through incremental milestones to delivery. Lead the design of ultra-low-latency, event-sourced trading systems spanning matching, risk, and market data across cloud and colocated environments. Drive cross-team technical alignment across Exchange, Prime, and Derivatives, securing commitment from senior engineering and product leadership. Set and inspect the quality bar across teams - deterministic testing, failover design, incident leadership, and operational standards for 24/7 markets. Maintain significant hands-on contribution while leading execution through other senior engineers and tech leads. Mentor L5-L6 engineers and build the next rung of technical leadership on a lean, high-leverage team.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software and hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs. -------------------------------*Candidates should be interested in working in one of our APAC offices for their full-time job after graduation.------------------------------- Our APAC C++ team sits at the intersection of trading and technology — we build and maintain the live trading system, risk infrastructure, back testing infrastructure and platforms for post-trade analysis. You'll work on problems that matter, ship code that runs in production, and collaborate directly with various businesses, operations, and research teams across the firm.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software and hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.-------------------------------*Candidates should be interested in working in one of our APAC offices for their full-time job after graduation.------------------------------- Our APAC Python team sits at the intersection of trading and technology — we build data pipelines, post-trade infrastructure, analytics platforms, and middle-office systems that the business relies on every day. You'll work on problems that matter, ship code that runs in production, and collaborate directly with trading desks, operations, and research teams across the firm.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Agent Verification builds systems that help Coinbase safely ship software in an AI-native development environment. The team develops automated code review, risk and policy evaluation, CI evidence, and merge controls that reduce routine manual work while preserving human judgment for higher-risk changes. As a Senior Software Engineer, you will design and build reliable backend services and integrations across source control, CI/CD, policy systems, and developer workflows. You will lead the adoption of a consistent and observable merge path, partner with Security, Compliance, Infrastructure, and product engineering teams, and improve how software changes are reviewed and shipped across Coinbase. We are looking for an experienced backend or platform engineer who has built distributed systems, developer infrastructure, CI/CD integrations, authorization or policy systems, or other high-reliability control planes. Experience with Go, GitHub integrations, AWS, Kubernetes, AI-assisted development, or policy-as-code is helpful. Lead the design and delivery of Coinbase’s Unified Merge Gate, the system that determines whether a change can merge and explains what remains before it can proceed. Integrate automated review findings, policy and risk assessments, CI results, identity and attestation evidence, and required human judgment into one merge decision. Build reliable backend services and integrations across GitHub, CI and other Coinbase’s policy systems.…

AHL Macro is the team responsible for Macro strategies. The team systematically trades liquid futures and FX at different frequencies, with holding periods ranging from intraday to monthly.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our Data team is responsible for building a world class Data Platform with a centralized source of vendor and proprietary research data. The Vendor Data Group operates in a very dynamic environment utilizing a sophisticated and diverse technology stack. The team interfaces with all aspects of the firm, from Trading, Research, and Technology to Risk, Middle Office and Accounting – providing individuals within the group a full 360-degree view of Jump. The Core Data team, part of the Vendor Data Group, owns the firm’s core reference data, core historical market and fundamental datasets, and the firm’s instrument and security master. This foundational data underpins research and trading across Jump, making the team central to the firm’s investment process.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our Data team is responsible for building a world class Data Platform with a centralized source of vendor and proprietary research data. The Vendor Data Group operates in a very dynamic environment utilizing a sophisticated and diverse technology stack. The team interfaces with all aspects of the firm, from Trading, Research, and Technology to Risk, Middle Office and Accounting – providing individuals within the group a full 360-degree view of Jump. The Derived Data team, part of the Vendor Data Group, builds the analytical datasets that trading and research rely on: bars and residuals computed from market data, extending to curves, volatility surfaces, greeks, and other derived signals. The team works hand-in-hand with trading desks to turn raw market data into research-ready analytics at scale. The role offers the individual the opportunity to develop both business and technical expertise, while significantly contributing to our evolving code base.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Designing, implementing, and deploying mid- to high-frequency trading algorithms Exploring trading ideas by analyzing market data and market microstructure for patterns Creating tools to analyze data for patterns Contributing to libraries of analytical computations to support market data analysis and trading Developing, augmenting, and calibrating exchange simulators

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. One of our trading teams is running a six month graduate programme for exceptional aspiring Quantitative Traders/Researchers for those graduating in 2027. Designing, implementing, and deploying high or mid-frequency trading algorithms Working with a dedicated mentor to research and enhance existing trading strategies Exploring trading ideas by analyzing market data. Creating tools to analyze data for patterns Contributing to libraries of analytical computations to support market data analysis and trading

Designing, implementing, and deploying high or mid-frequency trading algorithms Working with a dedicated mentor to research and enhance existing trading strategies Exploring trading ideas by analyzing market data. Creating tools to analyze data for patterns Contributing to libraries of analytical computations to support market data analysis and trading

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Staff Software Engineer on the FinHub team within the Platform Product Group, you'll define the technical vision for the financial infrastructure that powers Coinbase. FinHub is the foundation for account balances and money movement across trading, payments, financing, staking, and other financial products. You'll serve as the domain's senior-most technical individual contributor, leading the evolution of our ledger and money-movement architecture so Coinbase can move funds with uncompromising correctness, security, reliability, and scale. Define and drive the multi-quarter technical strategy for FinHub's ledger and money-movement platform, supporting new financial products, platforms, and significant growth in transaction volume. Architect unified, reusable primitives across fiat and crypto fund flows, including account balances, holds, settlements, postings, transfers, and transaction history. Lead the rearchitecture of distributed financial workflows and state transitions, enforcing standards for double-entry accounting, idempotency, invariant enforcement, reconciliation, auditability, and safe failure recovery. Drive end-to-end design and rollout of large, cross-team initiatives, breaking complex and ambiguous problems into clear milestones, migration plans, and measurable outcomes. Partner with Payments, Product, Finance, Risk, Compliance, and Operations to align platform architecture with customer experience, regulatory obligations, and business priorities. Provide deep technical mentorship to senior and staff engineers, raising the bar for system design, operational excellence, technical writing, and long-term maintainability across FinHub.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Staff Software Engineer on the FinHub team within the Platform Product Group, you'll define the technical vision for the financial infrastructure that powers Coinbase. FinHub is the foundation for account balances and money movement across trading, payments, financing, staking, and other financial products. You'll serve as the domain's senior-most technical individual contributor, leading the evolution of our ledger and money-movement architecture so Coinbase can move funds with uncompromising correctness, security, reliability, and scale. Define and drive the multi-quarter technical strategy for FinHub's ledger and money-movement platform, supporting new financial products, platforms, and significant growth in transaction volume. Architect unified, reusable primitives across fiat and crypto fund flows, including account balances, holds, settlements, postings, transfers, and transaction history. Lead the rearchitecture of distributed financial workflows and state transitions, enforcing standards for double-entry accounting, idempotency, invariant enforcement, reconciliation, auditability, and safe failure recovery. Drive end-to-end design and rollout of large, cross-team initiatives, breaking complex and ambiguous problems into clear milestones, migration plans, and measurable outcomes. Partner with Payments, Product, Finance, Risk, Compliance, and Operations to align platform architecture with customer experience, regulatory obligations, and business priorities. Provide deep technical mentorship to senior and staff engineers, raising the bar for system design, operational excellence, technical writing, and long-term maintainability across FinHub.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. We are hiring Staff Software Engineers across several teams within the Developer Infrastructure group in Platform. You'll own the tools and systems every Coinbase engineer depends on to build and ship software. This team is responsible for scalable CI and build infrastructure and deployment orchestration, where a single improvement compounds across thousands of engineers. You'll set technical direction for the group's most complex, cross-cutting problems and lead their delivery from ambiguous problem statements through production operation. Own core developer infrastructure platforms, including CI/build systems and deployment orchestration, across the full lifecycle from design through production operation. Identify the group's highest-leverage problems, turn ambiguous and unscoped challenges into concrete technical roadmaps, and drive alignment across dependent teams. Drive step-change improvements to the metrics every engineer feels: build and CI wall time, deploy speed and safety, and developer feedback latency. Lead strategic, cross-cutting initiatives end to end, including large-scale platform migrations, landing them across many teams alongside the engineers doing the work. Raise the reliability bar for developer infrastructure by owning SLOs, observability, and on-call, designing systems that recover fast rather than cascade into company-wide incidents. Partner with engineering customers, EMs, and leadership across Coinbase to shape technical strategy and drive org-wide adoption of what you build, while mentoring engineers through design review, pairing, and shared ownership.

We're looking for Software Engineers who want to help us design and build the systems and tools that run the firm. You'll find Software Engineers in all parts of Jane Street, solving real problems in critical areas ranging from trading desks to our accounting team, as well as building foundational infrastructure, whether that means implementing network monitoring or risk models. We are big believers in functional programming and, using OCaml, a statically -typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street's research and trading work, acting as the go-to language for data analysis, visualisation, and machine learning. Beyond our own environment, we also recognise the value of open source software, leveraging it in our daily work and releasing over a million lines of our own code as open source. We're also always looking for ways to expand open source projects, and provide ongoing support to things like Mercurial, the OCaml compiler, and the OPAM package manager. That said, we're interested in talented engineers with experience in any language—most of us came in with little to no practical experience in OCaml before we joined. If you'd like to learn more, you can read about our interview process and meet some of our newest hires.

We're looking for Software Engineers who want to help us design and build the systems and tools that run the firm. You'll find Software Engineers in all parts of Jane Street, solving real problems in critical areas ranging from trading desks to our accounting team, as well as building foundational infrastructure, whether that means implementing network monitoring or risk models. We are big believers in functional programming and, using OCaml, a statically -typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street's research and trading work, acting as the go-to language for data analysis, visualisation, and machine learning. Beyond our own environment, we also recognise the value of open source software, leveraging it in our daily work and releasing over a million lines of our own code as open source. We're also always looking for ways to expand open source projects, and provide ongoing support to things like Mercurial, the OCaml compiler, and the OPAM package manager. That said, we're interested in talented engineers with experience in any language—most of us came in with little to no practical experience in OCaml before we joined. If you'd like to learn more, you can read about our interview process and meet some of our newest hires.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Designing, implementing, and deploying mid- to high-frequency trading algorithms Exploring trading ideas by analyzing market data and market microstructure for patterns Creating tools to analyze data for patterns Contributing to libraries of analytical computations to support market data analysis and trading Developing, augmenting, and calibrating exchange simulators

Partner directly with quantitative researchers to understand the needs of a specific machine learning project and collaboratively produce data that best fits the model and project Transform raw structured and unstructured data into project-specific, research-ready datasets Perform feature generation and deliver prepared datasets and features to the researcher for modeling and productionization Resolve tagging, entity-matching, and linkage issues across signals, textual data, and securities Build data quality assurance, quality monitoring, and profiling workflows through programmatic checks, LLM reviews where appropriate, targeted manual inspection, and feedback-driven iterative refinement Build point-in-time mappings and knowledge graphs for mergers and acquisitions, bankruptcies, IPOs, and other corporate events Examine and onboard alternative datasets Ensure datasets are clean, traceable, and reliable for trading strategies Work across different researchers and potentially concurrent projects as priorities and the scope of the role evolve Communicate clearly with researchers and engineering partners

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Coinbase stores a large amount of digital currency making us a top tier target on the internet. Security is core to our mission and has been a key competitive differentiator for us as we scale. Security Platform Engineering ( SPE ) team is building platform capabilities for a variety of security use cases critical for security, compliance and privacy at Coinbase. Some of the key functional areas we are developing capabilities for are secrets and key management, identity access and management, onchain security, policy and risk management, vulnerabilities management enabling our product, compliance, security and services teams to protect Coinbase and our customers.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Staff Software Engineer on the Agent Engagement and Experience team within Coinbase's Enterprise Applications and Architecture (EAA) org, you'll build the customer experience platforms that power customer service and compliance processes for CX agents across the company. This team creates innovative services, tools, and applications that help resolve customer issues and compliance KYC processes faster and with greater accuracy. You'll anchor new projects, set technical direction, and mentor engineers while architecting the distributed systems that directly improve customer satisfaction and compliance outcomes at scale. Architect and deliver distributed backend systems and foundational infrastructure components, including dynamic configuration, container orchestration, and secrets storage, using Golang, gRPC, TypeScript, and React Lead technical direction for the team by defining strategic roadmaps with engineering management and stakeholders, translating ambiguous problems into clear architectural plans with measurable outcomes Build and scale high-reliability services that streamline CX agent workflows and compliance processes, owning end-to-end delivery from design through production deployment Mentor engineers on design techniques, coding standards, testing practices, and operational best practices, raising the overall engineering quality bar across the team Partner cross-functionally with teams across multiple time zones to identify platform improvements, foresee potential issues, and communicate complex technical concepts clearly to both technical and non-technical leaders

We are seeking an exceptionally talented, hands-on, high-performance C++ engineer for our Global Trading and Execution (GTX) technology group. Reports to the Head of GTX. GTX designs, develops, and supports our global Stat-Arb and Low-Latency execution platforms. Location, NYC.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Senior Software Engineer, Frontend (Platform - Identity) As a Senior Software Engineer, Frontend on the Identity Horizontal team within the Platform group, you'll own the user-facing experiences for login, signup, OAuth, account security, and multi-factor authentication that every Coinbase customer touches first. This team builds and maintains the frontend surfaces that establish the right level of assurance for every identity, enabling products to ship faster while blocking attackers and satisfying regulators. You'll lead end-to-end frontend delivery across authentication surfaces, drive the Native vs. Webview architecture strategy, and mentor engineers as the team scales. Lead end-to-end frontend projects from design doc through implementation, deployment, and monitoring for login, signup, OAuth, account security, and multi-user/multi-organization support. Author and review technical design documents, breaking down ambiguous, complex initiatives into executable plans for the team. Drive Identity's Native vs. Webview architecture strategy for authentication surfaces, evaluating trade-offs across latency, reliability, and user experience. Identify and resolve technical debt and code quality issues proactively across the team's codebase, not just your own scope. Lead team rituals including on-call, code review, and incident response, and mentor L04 engineers on frontend craft and ownership.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Software Engineer on the CDP Payment Acceptance team within the Developer group, you'll build the stablecoin payment rail powering merchant checkout, subscriptions, and onchain settlement for businesses of all sizes. This team owns the end-to-end payment experience, from merchant-facing checkout components through gRPC orchestration services to onchain settlement workers across multiple EVM chains. You'll ship full-stack features across our Go backend and React/Next.js frontend, directly contributing to our mission of becoming the most trusted, performant, and widely adopted stablecoin payment rail for global commerce. Own end-to-end feature delivery across Go backend services and the React/Next.js merchant-facing checkout experience, including gRPC/HTTP APIs, protobuf definitions, database migrations, and TypeScript client integrations Build and refine the buyer checkout UI (payment links, embeddable web components, wallet connection flows via WalletConnect, wagmi/viem) with a focus on conversion, accessibility, and performance Implement durable, fault-tolerant payment workflows using Temporal for onchain settlement, refunds, and reconciliation against PostgreSQL Instrument every change with structured logs, metrics, and Datadog traces, and own on-call rotation for services you ship Partner with Product, Design, and engineering teams (CDP, Base, Coinbase Business) to integrate Payment Acceptance into the broader Coinbase developer platform

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Coinbase stores a large amount of digital currency making us a top tier target on the internet. Security is core to our mission and has been a key competitive differentiator for us as we scale. Security Platform Engineering ( SPE ) team is building platform capabilities for a variety of security use cases critical for security, compliance and privacy at Coinbase. Some of the key functional areas we are developing capabilities for are secrets and key management, identity access and management, onchain security, policy and risk management, vulnerabilities management enabling our product, compliance, security and services teams to protect Coinbase and our customers.

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. We are actively hiring a Senior Software Engineer with a passion for building reliable systems at scale. As a post-trade developer, you will coordinate solutions across a wide range of inputs, outputs, and latency requirements. You will bring proven expertise in Python and C++ to a distributed system that supports global trading across the entire firm.

At IMC, technology is the driving force behind everything we do. Our in-house developed software executes millions of trading decisions each day, enabling us to outperform the competition by making smarter and faster choices. We're looking for an experienced software developer with strong communication skills to join our Development Platform team. The Development Platform team exists to amplify the effectiveness of trading, research, and engineering teams. Instead of directly building trading strategies, we provide the tools, infrastructure, and processes that support all software development, aiming at reducing friction and accelerating delivery. The role requires building robust solutions and solving challenges up and down the tech stack. The team owns and evolves IMC's build systems and development tooling, continually tackling bottlenecks in build and development processes, whether that means an impactful one-line fix or migrating an entire codebase to Bazel. The team supports codebases in a variety of languages, including Python, C++, and Java, to improve the daily productivity of hundreds of developers across the globe. Identify and implement improvements to software development workflows, from targeted, iterative refinements to sweeping architectural redesigns. Scale and advance IMC's trading systems builds and development tooling to support an excellent work environment for developers. Optimise compile times, improve code quality systems, and simplify software processes to improve the daily workflow of engineers Troubleshoot potential issues with build infrastructure and implementing improvements. Design and build infrastructure supporting the development, build, test, and release processes. Partner with development teams to align platform capabilities with their evolving needs, and drive adoption of best practices in code health, development productivity, and maintainability.

About AQR Capital Management AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations, and sovereign wealth funds, as well as financial advisors. Job description: The Team Technology has long been essential ingredient to our success, and as a Quant Research Engineer you will be knee-deep in mission critical challenges that make our investment ideas a reality. Collaborating side by side with researchers and portfolio analysts, you will be responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and systematic investing that powers AQR.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Staff Software Engineer on the Compute Platform team within the Platform Product Group, you'll own the routing layer that connects every service at Coinbase to its customers. The Compute Platform team builds and operates core compute orchestration infrastructure based on CNCF technologies including Istio, Envoy, and Kubernetes. You'll design and deliver net-new routing capabilities that improve the scalability, reliability, and performance of application traffic across our entire fleet. Own the design, development, and automation of routing infrastructure that directs application traffic to Kubernetes backends at scale Build capabilities on top of Envoy-based reverse proxies, Istio gateways, Ambient mesh, and SPIFFE service authentication Drive measurable improvements to latency, reliability, and performance of application routing systems across Coinbase's production environment Shape the paved-road developer experience for operating applications at Coinbase, with emphasis on AI-driven tooling, processes, and support Partner with Security, Reliability, and Observability teams to ensure routing infrastructure meets cross-cutting platform requirements

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. -------------------------------*Candidates for this off-cycle internship should be graduating in 2027 and be interested in working in Hong Kong or Shanghai for their full-time job after graduation.------------------------------- We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world. At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump. You will receive training, coaching and mentorship from experienced quants/traders to successfully apply skills in a variety of areas like machine learning, trading / market mechanics, statistics, Python, and C++. You will help build predictive models, leveraging one of the largest supercomputers in the world, and devise automated trading strategies to test in the markets against world-class competition. Other duties as assigned or needed. Who Should Apply? We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.). No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need. Reliable and predictable availability required. Although we strongly value training in Computer Science and…

Flow Traders is looking for a PhD Graduate Quantitative Researcher to join the quantitative trading team in our New York office. This is a unique opportunity to join a leading proprietary trading firm, working alongside some of the brightest minds in the industry. As a firm, we are committed to leveraging advances in computer science, statistics, and machine learning to generate value in the financial markets. A successful Quantitative Researcher is an expert in mathematics and statistics, passionate about translating challenging quantitative problems into equations and models, and skilled at optimizing them using cutting-edge computational techniques. If you're at the top of your quantitative, modeling, and coding game, and excited to test these skills in competitive live markets, this opportunity is for you.

Quant/Developer Analyst for a Discretionary Macro Investment Team focused on Structured Products A Career with Point72’s Macro Team Point72’s Global Macro business is a scaled, global investment platform with more than two decades of experience trading across rates, FX, credit, volatility, and emerging markets. Operating across 10 offices worldwide, we have doubled our capital allocation and grown our number of teams fivefold since 2020. We combine deep asset-class expertise with a highly collaborative culture across macro, fundamental equities, and systematic strategies to drive differentiated investment performance and support long-term career growth for our talent.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. -------------------------------*Candidates should be interested in working in Hong Kong or Shanghai for their full-time job after graduation.------------------------------- We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world. At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump. Our 10-week internship program begins with a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as machine learning, trading / market mechanics, statistics, Python, C++, and our research process. You will later be coached to successfully apply those skills during rotations with trading teams and research projects with mentorship from experienced quants/traders. You will help build predictive models, leveraging one of the largest supercomputers in the world, and devise automated trading strategies to test in the markets against world-class competition. Other duties as assigned or needed. Who Should Apply? We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have…

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.-------------------------------*Candidates should be interested in working in Hong Kong or Shanghai for their full-time job after graduation.------------------------------- The quant trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it’s like to be a full-time quant trader at Jump. At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant trader, quant researcher, and quant developer. During our internship you will get training in all of these areas, with a focus in trading and financial markets. Topics include trading strategies and intuition, market mechanics, statistics, and our research process for signal generation. You will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant traders, researchers, and developers. You will also participate in mock trading sessions, poker training, and other modules designed to improve probabilistic thinking, risk-taking, and trader mindset. Other duties as assigned or needed.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. We are seeking a Quantitative Developer to help support one of our global research teams. In this role, you will collaborate closely with the team's researchers to maintain the team's infrastructure as they relate to live trading outcomes. This is a hybrid development and research and trading operations position. You'll be responsible for ensuring the reliability of the team's research pipeline—diagnosing idiosyncratic and fixing observed issues in research and trading systems, making jobs more stable, and stepping in when things go wrong. We are looking for a mature, self-directed engineer who can operate independently and handle high-stakes situations with confidence. The more efficiently you can automate and stabilize operations, the more time you'll have to focus on performance-oriented development work. Manage and evolve the monitoring system: Act as the primary escalation point for error messages and failed jobs. Chase problems identified by the monitoring system to their source—identifying bugs, writing fixes, and resolving issues yourself rather than forwarding them on. Maintain a big-picture understanding of all processes overseen by the monitoring system. Improve pipeline efficiency and performance: Investigate recurring pipeline issues and solve them at a systemic level. Optimize performance-critical workloads—for example, making ML models and GPU jobs run faster and more efficiently. Engage in full-cycle development: Contribute across research, coding, testing, and deploying systems into production. Provide direct support to end users, troubleshoot issues, and manage system upgrades. Design and maintain robust testing, deployment, rollout, and rollback processes. Other duties and responsibilities assigned.

Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10–12 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact. Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on desk training, while benefiting from professional development and networking opportunities. We offer a highly competitive compensation package, including travel and accommodation. High-performing interns may be considered for a full-time Graduate Researcher position upon graduation. Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate. Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics

Point72 Academy Coffee Chats—Class of 2029 (US) Curious what it's really like to work as an investor at one of the world's leading global alternative investment firms? The Point72 Academy is where the next generation of investment talent gets built through hands-on casework, direct mentorship from experienced portfolio managers, and real exposure to how markets actually work. Since 2015, the Academy has launched over 250 analysts onto our platform[1], and some of those graduates are now running their own books as portfolio managers. If you're a Class of 2029 student who's intellectually curious about markets and companies, we want to hear from you. Register your interest below for a coffee chat, an informal, no-pressure conversation to explore the Academy and hear what a potential career in investing could look like. Chats happen either in person if we're visiting your campus, or virtually over Zoom.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Staff Software Engineer on the Core Automation team within the Platform group, you'll architect and build the Agentic AI systems that are transforming how Coinbase operates. This team is reimagining customer support and compliance processes for a fully AI-driven world, designing intelligent agents, orchestration frameworks, and measurement systems that deliver delightful customer experiences at scale. You'll own the technical direction for production AI systems, working across cross-functional teams to bring this vision to reality while building primitives that scale automation across the company. Architect and build Agentic AI systems that power Coinbase's compliance automation and other Operations, from intelligent agents through orchestration and guardrails Design foundational APIs and measurement frameworks that ensure AI agents are grounded, relevant, and reliably deliver customer delight with minimal hallucination Lead technical direction for distributed systems underpinning AI automation, defining architecture patterns and strategic roadmaps in partnership with engineering leadership Build reusable primitives and orchestration solutions that enable AI-powered automation to scale across multiple domains beyond the initial customer support and compliance focus Mentor engineers on AI system design techniques, coding standards, and production-readiness practices for LLM-based applications

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Data Science sits at the heart of how Coinbase builds products and makes decisions. We partner with Product, Engineering, and Design to shape roadmaps, understand our users, and move the company's bottom line through rigorous experimentation, analytics, and advanced modeling. As a Data Scientist on the Consumer team, you'll improve the customer experience across Coinbase's consumer products — including spot and advanced trading, yield, Coinbase One, international expansion, and new launches such as prediction markets and equities trading. You'll define key metrics, build measurement and causal frameworks, and translate insights directly into product strategy and shipped improvements. Drive analysis and deep dives on ambiguous business problems, delivering insights and recommendations that guide team decision-making Own a broad scope of data and metrics — from core logging to polished data visualizations Lead code reviews, contribute SQL and Python expertise, and maintain reliable ETL pipelines Uphold a high bar for statistical rigor, ensuring experimentation and causal analyses build genuine confidence with stakeholders

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Senior Software Engineer, Access & Authorization As a Senior Software Engineer on the Access & Authorization team within the Platform group, you'll help shape the systems customers use to securely access Coinbase. This team builds and operates distributed services at the intersection of security, identity, developer infrastructure, and customer experience. You'll design foundational authentication and authorization capabilities that balance strong security with a simple experience, creating leverage across every Coinbase product and partner integration. Own end-to-end design, implementation, and operation of capabilities across authentication, OAuth, sessions, tokens, 2FA, account recovery, and edge authorization. Build secure, low-latency Go and gRPC services used across Coinbase's web, mobile, API, and partner experiences, with strong observability, failure testing, and measurable SLOs. Lead technical designs for complex initiatives such as signed authorization tokens, passkeys, biometric recovery, device-aware authentication, and mobile OAuth. Partner with product, security, fraud, and infrastructure teams to balance customer conversion, account protection, regulatory requirements, and engineering constraints. Simplify integration patterns and build self-service tooling that enables product teams to adopt access and authorization capabilities safely at scale. Mentor engineers and raise the technical bar through design reviews, pairing, code reviews, and on-call participation.

We are looking for an experienced professional to work as part of the Finance Technology team. In addition to tactical development, you will be responsible for delivering and creating programs to modernize and scale the platform through technology upgrades, cloud technology adoption, and re-architecting business processes. You will work alongside world-class engineers, partnering directly with Finance stakeholders to understand existing workflows and deliver scalable replacements. This position offers deep domain exposure across FP&A, investor reporting, and compensation, and carries a high degree of ownership over the modernization roadmap.

This position is a core function within the Man Group Systematic team as a Client Portfolio Manager. Man Group’s Systematic Client Portfolio Management Team provide specialist knowledge of Man Group’s Systematic strategies, drive product innovation and engage closely with Man Group’s clients. The successful applicant is likely to have a passion for markets, quantitative strategies, and a desire to communicate and innovate. In this role, the individual is expected to work collaboratively with both external clients and internal business partners across Research, Risk, Man Group's global sales force, marketing, legal & compliance teams, middle office and others. Articulate complex systematic concepts in an engaging manner. Assume overall responsibility for innovative projects including: planning, organizing timeline and project deliverables. Represent Systematics’ investment strategies with investors. Quantitative & Qualitative analysis to answer technical questions posed by both clients and internal parties. Interact with internal stakeholders including research, marketing and sales. Analyze proposal requirements with sales and other appropriate stakeholders, and review provided documentation to identify prospect/client key objectives

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. We're hiring a Software Engineer to join the CB Node team within the Platform organization. This team runs all the blockchain nodes that power every asset Coinbase offers to customers, currently spanning 55 unique protocols across Ethereum, Bitcoin, Solana, and beyond. You'll contribute to performance optimization and reliability across the blockchain platform stack, diagnosing root causes instead of over-provisioning, reducing infrastructure spend, and building the observability and health-check systems that keep our nodes reliable at scale. Own performance analysis and optimization tasks across the blockchain node stack, diagnosing root causes of resource consumption and implementing system-level fixes that reduce infrastructure spend while maintaining reliability SLOs. Build observability, health-check, and automated failover capabilities for blockchain nodes, ensuring the team can detect degradation and respond proactively rather than reactively scaling resources. Execute right-sizing improvements across the node fleet, profiling workloads, identifying over-provisioned instances, and contributing to capacity models that balance cost efficiency with reliability. Partner with protocol integration engineers, wallet teams, and indexer teams to extend performance improvements across the blockchain platform stack. Support the definition and implementation of SLOs and SLIs for node services, helping create measurement frameworks that give the team confidence in reliability without relying on over-provisioning. Support protocol upgrades and node operations with a performance-first lens, validating new blockchain versions for resource efficiency and regression-testing before production rollout.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Coinbase is building the future of institutional trading as part of the Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As a Staff Data Engineer, Market Data on the Institutional Markets team, you'll architect, build, and own the systems that generate, capture, normalize, and distribute real-time market data across Coinbase at low latency - the ticker plant and distribution backbone of a unified trading platform - while leading a lean, high-impact team. It's a rare chance to architect market data infrastructure from the ground up, with the ownership of a startup and the reach of Coinbase. Build and operate market data components: feed handlers, normalization, distribution, and venue connectivity. Design low-latency, high-throughput systems for real-time market data used by trading systems. Strengthen reliability and performance by contributing to observability, on-call, and incident response. Write high-quality, well-tested code and raise the quality bar on a lean team. Partner with engineers, product, and cross-functional stakeholders to deliver market data capabilities.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Developing data pipelines to collect, process, and analyze diverse datasets at scale. Designing and implementing deep learning architectures capable of processing large volumes of data. Analyzing model performance by conducting experiments and tests to evaluate effectiveness and identify opportunities for improvement. Building and managing agentic workflows to support scalable and efficient AI/ML solutions. Optimizing and fine-tuning existing machine learning models to improve performance and effectiveness. Building and maintaining pipelines to monitor, manage, and continuously improve production machine learning and deep learning models.

Jump Trading Group is committed to world-class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk-adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our team is a group of quantitative researchers, engineers, and ML experts leading reinforcement learning research and trading at Jump. Our mission is to combine emerging techniques and original research to learn optimal decision-making policies from financial market data and monetize them globally. We are building the future of ML-powered trading through breakthrough reinforcement learning, and we're looking for an exceptional Research Scientist/Research Engineer to join our team.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Iterating quickly with on-site quantitative researchers on research processes to improve the P&L of the desk’s quantitative trading strategies Developing Python tools used across the research process Designing full-stack workflows with quantitative researchers to help evaluate and improve on trading strategies

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Senior Software Engineer, Simple Trade Experience We're hiring a Senior Software Engineer to join the Simple Trade Experience team within the Consumer & Business group. This team powers the critical buy, sell, and convert journeys on the Simple interface of the Coinbase app and website, supporting multiple trading types and assets for millions of users worldwide. You'll own highly performant, available, and consistent backend and frontend systems that directly enable customers to trade with confidence at web-scale. Own the design and delivery of highly performant, available, and consistent systems powering trading for millions of users worldwide Architect robust, extensible systems that support multiple trading types and assets (Spot, Limit, Recurring, and more) while maintaining reliability at web-scale Partner closely with product and design to define and ship a best-in-class trading experience across web and mobile Drive production service evolution, scaling and maintaining critical trading infrastructure as traffic and product scope grow Strengthen engineering quality across the team through rigorous code reviews, mentorship, and knowledge sharing

Flow Traders is looking for a experienced Quantitative Researcher who specializes in high-frequency research to join us in our New York office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and quantitative culture at the heart of its business. In this role, you will be responsible for leading the strategic expansion into new opportunities by leveraging Flow Traders’ cutting-edge research and quantitative trading platform.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in-house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition. IMC's Platform Engineering team in Sydney works closely with our global counterparts to deliver the runtime environments and services on which IMC's cutting-edge trading and business applications run. We work on a wide variety of systems and tools that utilize a combination of in-house, open source, and third-party technologies. We are currently looking to expand our Application Platform team. The Application Platform team helps turn IMC software into running applications. We develop and operate scalable, self-service systems and tools to configure, distribute, deploy, upgrade, and operate trading and supporting components in data centers around the world. We use input gathered from a range of internal stakeholders to design and implement creative solutions to efficiently keep tens of thousands of services and applications running and up to date. Develop, test, deploy, and maintain high-performance, globally distributed Go applications. Collaborate with teammates, stakeholders, and internal customers across local and global teams. Partner with customers to understand their needs and design platform capabilities that help them configure, deploy, and operate software more effectively. Support customers, unblock teams, and turn recurring issues into platform improvements. Own the end-to-end service lifecycle, from requirements gathering and implementation to deployment, operation, and continuous improvement. Help operate and support the team's systems during Sydney business hours. Use automated testing and frequent deployments to deliver high-quality features quickly and iteratively. Balance trade-offs between latency, throughput, simplicity, scalability, reliability, and maintainability in a complex technology landscape.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Monitor execution across equities, FX, Futures and other asset classes, trading in different regions. Provide first-line support for any issues arising from the automated execution flow. Conduct project work in areas including adding new liquidity to the execution platform and reducing the cost of implementing WorldQuant’s models. Analyze large datasets to guide further automation and refinement of execution desk processes. Interface directly with Portfolio Managers, Brokers, Senior Management, Compliance, Risk and many other teams. What You’ll Bring: Degree in a quantitative or technical discipline from a top tier institution 1+ years of work experience gained in a buy-side or sell-side institution in a Trading, DevOps or Analytics role supporting investment strategies Enthusiasm to learn more about financial markets and execution trading Experience with scripting languages (Python) and databases (SQL) a strong plus Experience with at least one mainstream asset class (equities, FX, fixed income, credit, derivatives)

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are looking for a Quantitative Developer to join our team in Vietnam. This is an opportunity for a technically strong, early-career candidate to build the automation and tools that support critical business workflows. You will work alongside experienced engineers to solve technical problems, develop robust internal platforms, and improve the efficiency of complex systems. You will also gain hands-on exposure to production environments by helping monitor workflows, investigate issues, and support on-call activities Monitor production systems, scheduled jobs, data processes, and automated workflows; identify and bring up issues appropriately Investigate technical issues across applications, data processes, and infrastructure; contribute well-tested fixes under guidance Design, build, and maintain internal tools, automation, interfaces, and services that improve business workflows Improve system reliability, observability, documentation, and team productivity Collaborate with engineers and stakeholders to understand requirements and translate them into practical technical solutions Contribute to code reviews, testing, release validation, and user documentation Assist the on-call team with incident triage, diagnostics, communication, validation, and follow-up activities Identify repetitive manual tasks and build automation to reduce operational overhead

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. We're hiring a Credit Risk Analyst to join the Counterparty and Credit Risk team within Financial & Operational Risk. This team manages credit exposure across Coinbase's global institutional client base, underwriting counterparties and delivering lending solutions in a fast-evolving digital asset market. You'll own credit analysis for complex counterparties, recommend risk-based limits, and monitor portfolio exposures that directly inform how Coinbase scales its institutional products. Own diligence and underwriting of institutional counterparties including hedge funds, asset managers, private equity, and venture capital firms. Recommend internal credit ratings and risk-based limits, preparing written analysis that substantiates each assessment for senior leadership review. Monitor portfolio exposures, conduct periodic surveillance of trading partners, and clearly communicate concentration trends and settlement risks to leadership. Analyze asset volatility and liquidity risks on a per-asset and portfolio basis to inform limit-setting and capital planning. Negotiate industry documentation (e.g., PBAs, MLAs, and ACAs) and collaborate with business development, operations, legal, and product teams to resolve complex client or product challenges.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are looking for a Junior Quant Developer to join the Platform & Operations team. This is an ideal opportunity for a technically strong, early-career candidate who enjoys solving real problems and wants to make a direct and tangible impact on the business. You will work alongside expert developers and portfolio managers, building systems, interfaces, and tools that support day-to-day portfolio management operations. We value clear thinking, strong fundamentals, and a proactive attitude over years of experience. Contribute to the design, development, and maintenance of systems, interfaces, and tools that support portfolio management workflows Collaborate with portfolio managers and developers to understand requirements and translate them into practical solutions Identify, investigate, and resolve issues in existing tools and infrastructure Monitor and support production systems, responding to incidents and ensuring reliability Contribute to code reviews, testing, and technical documentation Continuously improve team productivity by maximising modern development tools and practices

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world-class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration, and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability, and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. As an intern on our Central Execution Desk you will be working on cutting edge execution research, modeling, and execution performance evaluation. Exploring execution and trading ideas by analysing market microstructure for patterns in liquidity, trading costs, and execution outcomes. Building tools, simulations, and analytics to support trading and execution decisions Contributing to research libraries and production workflows for execution analysis Designing and evaluating models; performing causal analysis Working with large, noisy datasets and building robust data-processing and model-calibration pipelines

IMC is a leading global trading firm that combines technology, advanced quantitative research, and cutting-edge machine learning techniques to trade a broad range of products globally. With a strong focus on innovation, we leverage quantitative models, high-performance computing, and a deep understanding of the markets to drive our trading decisions. As a Quantitative Research Intern, you’ll work at the intersection of data science, financial markets, and algorithmic trading, solving real-world challenges that drive our trading strategies. This internship program offers a unique opportunity to gain hands-on experience in quantitative research, supported by structured learning, real-world project work, and direct mentorship from senior IMC employees.

IMC is a fast, dynamic environment where you’re trusted to make decisions from day one. We trade a wide range of financial instruments in many different ways. This means we look for different types of traders, from the quantitative minds who enjoy the mathematical side of trading to those who want more of the fast-paced, hands-on style of trading and have a higher appetite for risk. Our quantitative traders all share one thing in common — they are at their best when solving complex problems. Their insights into global events, market shifts, and pricing ensure that we always trade in the right place, at the right time. Our 10-week trading internship is your chance to experience life as a trader at IMC. You’ll have all the support you need to succeed: a mixture of hands-on and classroom training and a mentor overseeing your work and professional development. Where you go from here is up to you — the majority of our interns secure a graduate position at the end of the programme.

At IMC, Software Engineers don’t just write code and design technology. They are responsible for spotting new opportunities, developing new technologies, and solving problems. Every day, our software makes millions of trading decisions in some of the most competitive markets across the globe, and we win by making smarter and faster decisions than our competition. Our Software Engineers deliver results and make a difference. As a Software Engineer Intern at IMC, you will be supported by a mentor who will oversee your projects and professional development, while having access to pair programming and code reviews. During your internship, you will work on a real project, providing value to developers and traders. This year in Hong Kong, you will join our Software Engineering – Strategy team. This team builds and supports the systems that drive our trading strategies — developing and implementing the logic that calculates pricing and risk, and building the tools and infrastructure for analysing, modelling, and trading financial products. You will be working in Java and Python, collaborating closely with engineers and traders on problems that matter to the business. If your strongest language is C++, that’s not a barrier: as long as you’re a strong engineer who is comfortable working in Java or Python, we’d encourage you to apply.

Flow Traders is looking for a Software Engineer (Trading Automation) to join our Technology department in our New York office. As a member of Trading Automation team, you will develop applications that support our core business by improving data frameworks, automating workflows, and creating opportunities for greater efficiency and growth. In this role, you will be responsible for developing applications, services, mentoring team members and managing stakeholders. Your actions will directly contribute to the performance of the company. You will also get the opportunity to interact and work closely with the global Trading Automation team and different departments to gain a well-rounded knowledge of start-to-end trading landscape, how they function and integrate within our ecosystem.

A Career with Point72’s Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience. You'll work side by side with experienced ML Researchers on projects that we've selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models. At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Trading poses unusual challenges—large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. You'll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modelling paradigm for a thorny problem, or consider blue-sky approaches that we're still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analysing the predictions your model makes. Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.

This internship is based in Montreal and is available in any season. Please indicate your preferred season in the application questions. The minimum length of the Internship must be 12 weeks. Squarepoint sits at the intersection of finance, mathematics, and technology. From petabyte-scale data platforms to ultra-low-latency trading systems, we build the infrastructure that powers systematic investing across every major asset class and market worldwide. We are looking for highly motivated students with a deep passion for technology and software development to join our Software Developer Internship program. As a participant in the internship program, you will work closely with experienced engineers to develop and deliver custom software solutions that solve complex problems. During your time with us, you will work in collaboration with your mentors on a project that has a visible impact on the business. We have internship opportunities across various teams including; Data Engineering, Risk, Market Data, Quant Development, Frontend and many more... A fast-paced training program to give you an introduction to all technical facets of software development in the algorithmic trading industry The software you build and the projects you work on will be leveraged to support active and ongoing trading with the markets Independent programming projects in Python or C++ Intern social events to let you network with other Squarepoint employees and explore the city where you’re spending your internship

Join our dynamic and high-impact Data Engineering team, where you'll be responsible for our large-scale data collection, storage, access and query platforms. The work includes the safe and reliable operation of the platform, as well as projects to evolve and expand the capabilities. This is a critical role in the organisation as the data platform drives a huge range of trader analysis, simulation, reporting and insights. You will join a growing team of four in Sydney which is part of the larger APAC Data Team, and will collaborate with counterparts in Chicago, Mumbai and Amsterdam. Manage and monitor distributed systems, storage infrastructure, and data processing platforms, including Kafka, HDFS, Dremio, and in-house data pipelines. Drive heavy focus on systems automation and CI/CD to enable rapid deployment of hardware and software solutions. Collaborate closely with systems and network engineers, traders, and developers to support and troubleshoot their queries. Stay up to date with the latest technology trends in the industry; propose, evaluate, and implement innovative solutions.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our Data team is responsible for building a world class Data Platform with a centralized source of vendor and proprietary research data. This is a growing, high-visibility initiative, not greenfield, but early enough that this engineer will help shape it, with access across the entire platform as the team expands into proprietary datasets. The Vendor Data Group operates in a very dynamic environment utilizing a sophisticated and diverse technology stack, interfacing with all aspects of the firm (from Trading, Research, and Technology to Risk, Middle Office and Accounting) giving individuals within the group a full 360-degree view of Jump. The Derived Data team, part of the Vendor Data Group, builds the analytical datasets that trading and research rely on: bars and residuals computed from market data, extending to curves, volatility surfaces, greeks, and other derived signals. As Jump's trading style has evolved, the team has brought in new alternative datasets. We are looking for a skilled Software Engineer that will help normalize that data and make it available to researchers and traders at massive scale.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Please note, this internship opportunity is open to those who are available from February 2027 for six months. Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk's quantitative trading strategies P&L Developing Python tools used in trading strategies research Improving the existing simulation/backtest framework Help global research team on EMEA-related research through various communication channels

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are seeking interns to work alongside experienced quantitative researchers around the world. You will be responsible for supporting quant researcher's from data study, idea generation, through to alpha construction. You will be exposed to a sophisticated quantitative research platform with access to an extensive range of large and unique datasets across the asset class spectrum. We will provide you with opportunities to refine your research skills, collaboration opportunities with other quant research teams globally, and guidance sessions on career development and your next steps. Starting in May 2027, the program will run for a duration of 6 months.

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide Design, build, and maintain our proprietary, low-latency trading systems, and infrastructures. Produce powerful trading tools which leverage all aspects of our high-performance system Improve the scalability, performance, of our trading infrastructure. Understand the future needs of the business and design technical solutions to meet these demands Ability to handle a wide variety of projects, from frontend facing projects to backend infrastructure, each in different programming languages

Virtu is looking for a Software Engineer expert in C# to join our Triton Development team. We’re building a state of the art, multi-asset class Execution Management System that's changing the way the world's largest hedge funds and institutional investment managers run their investment processes. Our market-leading Triton Execution Management System is a global, broker-neutral platform that combines Virtu’s cutting-edge liquidity, execution, analytics and workflow solutions into one unified and customizable execution interface. Our Triton Development team is a highly talented group of versatile software engineers. To meet our client demand, we are looking for passionate engineers who love delivering extraordinary software in a highly visible role within the organization. Responsibilities include: Scale up capacity and performance of C# software components and end user experiences through Agile development methods. Make an impact by evaluating and recommending new technologies and optimal design of next generation features. Be a great teammate and effective communicator across teams. Handle multiple concurrent projects while adapting quickly to changing priorities.

We are hiring an Engineer to join our Data Engineering Infrastructure team, where you will help build and scale the storage and data platforms that power our HFT business. This is a hands-on role for someone who enjoys working close to the bare metal systems. Operating large-scale open-source storage, enterprise storage, tuning Linux systems for performance, automating infrastructure. As our data footprint grows, you will play a key part in keeping our infrastructure fast, reliable, and ready to scale. Design, deploy, and operate large-scale data storage infrastructure, including Hadoop, enterprise storage and S3-compatible platforms Tune Linux systems for I/O throughput and overall performance Automate configuration and deployment using Ansible, Puppet or other automation platform Build observability into the platform with Prometheus and related tooling Partner with engineering teams to deliver reliable, well-architected data solutions with a focus on Storage and Kafka Familiarity with Kubernetes

Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you’d like to learn more, you can have a look at our Machine Learning page. During the programme, you'll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we're still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data. The interview process follows the same structure as our Software Engineering Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including one dedicated to assessing ML engineering skills. Learn more about Jane Street's internship programme here.

Build AI-powered data products using machine learning models, large language models, and modern AI tools. Design, train, fine-tune, evaluate, and deploy in-house AI/ML models using proprietary and external datasets. Develop end-to-end model pipelines covering data preparation, feature engineering, training, validation, deployment, and monitoring. Apply generative AI and LLM techniques to use cases such as summarization, classification, knowledge extraction, semantic search, and workflow automation. Work with product, engineering, and business teams to translate business problems into scalable AI solutions. Evaluate and integrate third-party AI tools, APIs, open-source models, and internal models where appropriate. Build data pipelines and model workflows for structured and unstructured data. Define model performance metrics, run experiments, conduct error analysis, and continuously improve model quality. Support production deployment of AI models, ensuring reliability, scalability, governance, and responsible AI usage.

Our India Compliance team works closely with our Trading and Technology teams to manage the regulatory risks of our trading activities in India. As a Surveillance Analyst at IMC, you will assist with our day-to-day surveillance operations, monitoring and review of Internal and exchange generated alerts. Your role will cover many different aspects of IMC’s compliance program, requiring you to work with people across all areas of the business. This role will report into Head of Compliance- India. Investigating and resolving trade surveillance alerts across market abuse typologies including spoofing, layering, ramping, marking the close, wash trading, and insider trading indicators. Monitor and investigate market surveillance alerts and electronic communications to identify potential market abuse risks and provide recommendations to enhance pre- and post-trade controls (and our surveillance platforms). Managing alert queues, ensuring timely investigation, escalation to Compliance Officer and closure of alerts Regular review of parameters and calibrating surveillance alert parameters as new markets, strategies, and products come online Record keeping and preparing reports for internal approvals and regulatory submissions. Experience in designing or calibrating surveillance alerts from scratch. Driving data analysis and reporting in support of broader compliance team needs. Experience with Multi-class surveillance like equities , derivatives or commodities is preferred. Collaborate with Compliance, Trading and Tech Teams. Collaborate with internal developers and vendor teams. Contribute to the design of alert specifications and maintain clear documentation Communicating with regional compliance teams on global issues and projects. Comfort working with large data sets Working knowledge of SEBI and Exchange regulations Experience with Excel-based data analysis (pivot tables, VLOOKUP/XLOOKUP, macros) Promoting IMC’s Compliance culture, awareness of regulatory developments, and best practices within the business.

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll doDevelop and maintain scalable artificial intelligence/machine learning (AI/ML) architectures and systems.Collaborate with data scientists, engineers, product teams, and Compliance to integrate AI/ML solutions into existing and new products.Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems.Stay abreast of the latest advancements in AI/ML technologies and methodologies.Ensure compliance with industry standards and best practices in AI/ML. What’s requiredBachelor's or master's degree in computer science, engineering, or a related field.3-7 years of experience in AI/ML engineering, with a proven track record of successful project delivery.Strong expertise in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and/or Scikit-learn.Proficiency in programming languages such as Python, Java, or C++.Excellent problem-solving skills with the ability to work independently and collaboratively.Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.Commitment to the highest ethical standards.

Our goal is to give you a real sense of what it’s like to work at Jane Street full time. Over the course of your internship, you will explore ways to approach and solve exciting problems within your field of interest through fun and challenging classes, interactive sessions, and group discussions — and then you will have the chance to put those lessons to practical use. As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and proprietary software; and work with a mix of structured and unstructured data (think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds). During the internship you'll take on two real projects. You'll get your hands on an unfamiliar dataset, figure out what it actually contains, dig into parts that don't make sense, and explain your findings. You'll write code to ingest and transform data and to monitor its quality. You'll be mentored by full-time Data Engineers and learn about business context from data users, but the projects will be yours to own. Learn more about Jane Street's internship program here.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Jump Trading has a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, sophisticated front-end technologies, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Jump Trading has a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, sophisticated front-end technologies, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. The CX Intelligence Engineering team, part of Coinbase's Enterprise Applications and Architecture org, builds the multi-agent platform powering Coinbase Chat, Help Center, and agent tooling. As a Machine Learning Engineer on this team, you'll design and scale the agentic systems that automate complex customer support workflows, connecting LLMs with internal APIs and tools to deliver fast, accurate, and compliant AI-powered experiences for millions of customers. Architect multi-agent systems using advanced orchestration frameworks (LangGraph, Google ADK) to automate complex customer support procedures end-to-end. Build and scale integrations using Model Context Protocol (MCP) to connect LLMs with internal Coinbase APIs, databases, and third-party tooling. Develop automated "LLM-as-a-judge" evaluation pipelines to monitor, measure, and improve the performance of non-deterministic AI agents in production. Implement RAG, fine-tuning, and prompt engineering techniques to ensure chatbot responses are grounded, accurate, and compliant with Coinbase policies. Ship production-ready Python services that are resilient, low-latency, and capable of handling Coinbase-scale traffic across asynchronous microservices. Partner with Conversation Design and Product to translate complex business logic into executable agent procedures within the decentralized architecture.

Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. Many classes and activities are shared with our Software Engineering interns, while others focus specifically on machine learning applications and techniques. Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. If you’d like to learn more, you can have a look at our Machine Learning page. During the program, you’ll work on projects mentored closely by the full-time employees who designed them. Some projects consider big-picture questions that we’re still trying to figure out, while others involve building something new. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data. The interview process follows the same structure as our Software Engineering Intern interviews, with one key addition: after your initial technical coding interview over Zoom, you'll have an on-site interview with 2-4 technical rounds, including 1-2 dedicated to assessing ML engineering skills. Learn more about Jane Street’s internship program here.

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement. This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC’s technology and trading capabilities. Develop large-scale distributed training pipelines to manage datasets and complex models Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems Develop libraries to improve the performance of machine learning frameworks Maximize performance in training and inference using GPU hardware and acceleration libraries Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities Dig into the internals of open-source ML tools to extend their capabilities and improve performance

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Architecting and developing the next generation of Tower’s machine learning research platform, with an emphasis on scalability, reliability, observability, and reproducibility Building infrastructure that enables large-scale experimentation, model training, and simulation across on-premises HPC and multi-cloud environments Partnering closely with quantitative researchers to understand evolving research workflows and translate them into robust platform capabilities Designing and optimizing distributed training pipelines for high-throughput, GPU-accelerated workloads Improving experiment management, model versioning, artifact tracking, and data lineage to ensure transparent and reproducible research Developing tools and frameworks that streamline feature engineering, dataset generation, and large-scale backtesting Leading initiatives to improve compute efficiency, resource scheduling, and workload isolation across heterogeneous environments Enhancing platform observability, including metrics, logging, tracing, and debugging capabilities tailored to ML workloads Supporting rapid iteration by implementing features and fixes on tight timelines while maintaining high engineering standards Contributing to long-term architectural decisions that enable the platform to scale with increasing data volumes and model complexity

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Architecting and developing the next generation of Tower’s machine learning research platform, with an emphasis on scalability, reliability, observability, and reproducibility Building infrastructure that enables large-scale experimentation, model training, and simulation across on-premises HPC and multi-cloud environments Partnering closely with quantitative researchers to understand evolving research workflows and translate them into robust platform capabilities Designing and optimizing distributed training pipelines for high-throughput, GPU-accelerated workloads Improving experiment management, model versioning, artifact tracking, and data lineage to ensure transparent and reproducible research Developing tools and frameworks that streamline feature engineering, dataset generation, and large-scale backtesting Leading initiatives to improve compute efficiency, resource scheduling, and workload isolation across heterogeneous environments Enhancing platform observability, including metrics, logging, tracing, and debugging capabilities tailored to ML workloads Supporting rapid iteration by implementing features and fixes on tight timelines while maintaining high engineering standards Contributing to long-term architectural decisions that enable the platform to scale with increasing data volumes and model complexity

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling, partnering closely with Conversation Design, CX, and engineering teams to deliver secure, compliant, and scalable AI-powered support. Our work helps customers get answers faster while enabling agents to resolve cases more effectively. We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will contribute to the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks, and shipping AI-enabled products that are measurable and scalable. Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Develop production-grade Python services that bridge advanced AI and ML capabilities with reliable customer-facing products. Drive well-scoped ML projects from design through delivery, balancing technical trade-offs and collaborating across teams. Contribute to system design, coding standards, and AI/ML development best practices across the team. Partner with engineers and cross-functional stakeholders to build secure, scalable, and high-performing AI-enabled experiences. Participate in design reviews and help ensure features meet Coinbase standards for security, compliance, and performance.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Data Scientist on the CX Consumer Analytics team, you will serve as the foundational link between CX operations and top-line financial impact, owning the revenue calibration models, experimentation frameworks, and behavioral intelligence that connect every customer support interaction to Coinbase's asset accumulation flywheel. You will partner closely with CX Analytics Engineers, Program Managers, and Product teams to translate complex operational and behavioral data into defensible, executive-ready insights that drive measurable improvements in retention, product adoption, and automation quality. Own and evolve CX's Downstream Impact of Support (DSI) revenue calibration models, translating support interaction data into quantified revenue signals. Design and execute causal inference frameworks and experiments to measure the incremental impact of CX programs (Concierge, Proactive Outreach, automation interventions) on customer retention and product engagement. Build and maintain LLM-powered classification pipelines for CX contact taxonomy, customer friction detection, and issue attribution, partnering with Analytics Engineers to productionize models into CX's governed Source of Truth infrastructure. Partner with CX Program Managers and Product teams to define segmentation models and behavioral signals that enable personalized experiences and improve business outcomes. Maintain a high bar for statistical rigor across CX's analytics function, ensuring experimentation, causal analyses, and model outputs meet the standards required for executive reporting and regulatory defensibility.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Machine Learning Engineer on the CX Intelligence team within Enterprise Applications and Architecture, you'll build the AI-powered conversational systems that connect Coinbase's Help Center, chatbots, and agent workflows. The team owns the multi-agent platform powering Coinbase Chat and agent tooling, partnering with Conversation Design, CX, and Engineering to deliver secure, scalable automated support. You'll lead the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants, directly improving how millions of customers get help. Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products. Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery. Establish best practices for system design, coding standards, and AI/ML development workflows across the team. Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team. Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform which powers coinbase chat, Help Center and agent tooling surfaces, partnering closely with Conversation Design, CX, and other Engg teams to deliver secure, compliant, and scalable AI-powered support. Our work provides the trusted and accurate automated and agent-assisted experiences—helping customers get answers faster while enabling human agents to resolve cases more effectively.We are hiring an IC5 Machine Learning Engineer to drive the evolution of our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will lead the design and implementation of a sophisticated unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is pivotal in managing complex state transitions, context sharing, and intent routing across a distributed environment. You’ll thrive here if you enjoy high ownership, architecting complex hand-off logic between disparate LLM frameworks, and building reliable AI-enabled products that are fast, measurable, and scalable. Architect and deploy the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. Build production-grade Python services that bridge advanced ML/AI research with reliable, measurable customer-facing products. Lead end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through delivery. Establish best practices for system design, coding standards, and AI/ML development workflows across the team. Mentor engineers on architectural integrity and modern AI/ML patterns, raising the technical bar for the broader team. Conduct design reviews to ensure every feature meets Coinbase's standards for security, scalability, and performance.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reach users. Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design.

Our employees are our greatest asset. We have spent years building a team of talented, dedicated technologists, data-driven traders, and expert leaders with an emphasis on our core pillars: People, Process, Trading Edge, and Technology. Simplex is an in-office organization, helping to foster a collaborative and communicative culture. As a Volatility Trader at Simplex, you will take an analytical approach to identifying market opportunities with favorable risk-reward profiles with the goal of generating trade ideas and enhancing our core market making pricing systems. We expect that you have experience thinking about volatility valuation through a variety of lenses, including analysis of implied-vs-realized, term structure and event pricing, skew surface dynamics, and relative value or cross-asset relationships. You will manage discretionary positions and work closely with our existing market making team to create systematic pricing overlays and improve hedging, risk management, and edge capture. Conduct research to identify market dislocations, mispricings, or other trading opportunities in the volatility space. Monitor and manage live positions with a focus on order flow dynamics and counterparty behavior. Work closely with Simplex's core market making team to develop systematic approaches to volatility valuation or pricing overlays. Continuously improve the firm's toolset for volatility research, risk management, and P&L attribution. Clearly communicate and document research methodology and trading decisions for collaboration and review.

Work with our traders to understand analytic needs to improve trading performance. Design and maintain a modular data architecture to facilitate and scale future analysis. Ensure high data quality for all analytical trading datasets. Hold other team members to data standards, including modular design, testing, and documentation. Hold other team members to visual standards, including modular design, testing, and documentation. Ensure technical solutions are simple and scale well for future use cases.

We are looking for a hands-on Quantitative Risk Quant who can both design risk models and ship production-quality tools; such as: scenario and stress-testing capabilities factor based risk decomposition Your work will directly inform position sizing, hedging and drawdown management across a multi-billion-dollar fixed-income and macro portfolio.

Our Index Options desk focuses on monetizing flow and capitalizing on short-term mispricings. We are a highly collaborative group that combines strong market intuition with analytical rigor, working closely with dedicated quants and researchers to sharpen our edge. Together, we strive to develop deep expertise, ownership, and innovation in understanding counterparty behavior, flow dynamics, and volatility pricing. Maximize revenue by identifying and capitalizing on short-term mispricings in index options Monitor and react to flow patterns, volatility shifts, and liquidity changes across index products Collaborate with traders to manage the risk of a large book as a team Work closely with our best-in-class research and quant teams to analyze results and improve your approach Identify and analyze counterparty behavior and repetitive flow patterns to inform positioning and execution Provide feedback to enhance pricing models, risk systems, and execution tools Perform post-trade reviews to continuously improve execution and hedging Take on significant responsibility and ownership early in your time here to help drive strategies forward and succeed

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. Lead the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems with a strong emphasis on reliability, availability, and performance. Lead and mentor a team of engineers, driving technical direction, code quality, and iterative delivery of large-scale solutions. Partner closely with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products. Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications. Define and uphold engineering best practices around observability, scalability, security, and cost efficiency for AI/ML platforms. Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems. Stay abreast of the latest advancements in AI/ML technologies and methodologies, and translate them into pragmatic solutions for the business. Ensure compliance with industry standards and best practices in AI/ML.

• Work with Portfolio Managers to validate the inputs and outputs of our investment signals and assist with the day to day management of the portfolio • Analyze the output of our portfolio construction process to ensure the integrity of our investment philosophy • Assist research and portfolio management teams with enhancing existing signals and creating new signals • Work with large data sets and liaise with outside data vendors to identify data quality issues • Design tools for evaluating portfolio implementation and performance • Conduct analysis for strategy improvement and client communication

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Architecting and developing the next generation of Tower’s machine learning research platform, with an emphasis on scalability, reliability, observability, and reproducibility Building infrastructure that enables large-scale experimentation, model training, and simulation across on-premises HPC and multi-cloud environments Partnering closely with quantitative researchers to understand evolving research workflows and translate them into robust platform capabilities Designing and optimizing distributed training pipelines for high-throughput, GPU-accelerated workloads Improving experiment management, model versioning, artifact tracking, and data lineage to ensure transparent and reproducible research Developing tools and frameworks that streamline feature engineering, dataset generation, and large-scale backtesting Leading initiatives to improve compute efficiency, resource scheduling, and workload isolation across heterogeneous environments Enhancing platform observability, including metrics, logging, tracing, and debugging capabilities tailored to ML workloads Supporting rapid iteration by implementing features and fixes on tight timelines while maintaining high engineering standards Contributing to long-term architectural decisions that enable the platform to scale with increasing data volumes and model complexity

Virtu’s Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our quantitative researchers. This is a unique opportunity to work at the intersection of machine learning and systematic trading — building tools that directly determine how fast our researchers can move, and how effectively our GPU cluster translates into research output. In this role, you will be responsible for the development of our ML research platform: the systems that manage data and compute, track experiments, and enable researchers to go from idea to result as efficiently as possible. You will work closely with quants and engineers alike and will play a central role in shaping how ML is done at the firm as we scale our capabilities. We mostly use Python, C++ and Java with a variety of open-source tools along with proprietary solutions. Design and build experiment tracking, job orchestration, and reproducibility infrastructure so researchers can iterate quickly, compare runs reliably, and recover from failures without losing work Create tools for all stages of the simulation lifecycle including historical back-tests and production monitoring. Add new features to our simulators Own visibility into GPU cluster utilization — track allocation, surface bottlenecks, and ensure our compute investment is being used effectively Diagnose and resolve performance issues across training pipelines: data loading throughput, storage I/O, GPU utilization, and inter-node communication in distributed training runs Build and maintain data pipelines that move financial data from storage into training workflows efficiently, with strong guarantees on correctness and versioning Develop feature storage and retrieval patterns that support fast, reproducible access to training data at scale Work directly with researchers to understand friction in their workflows, and build solutions that reduce it — from tooling improvements to infrastructure changes Collaborate with existing infrastructure engineers on capacity planning, cloud/on-prem tradeoffs, and tooling decisions — this is a collaborative environment, not a siloed one Stay current with developments in ML infrastructure tooling and bring relevant ideas and tools into our stack where they create genuine value

We are deploying machine learning directly onto custom hardware – and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical research direction, and see your work drive real impact in one of the most demanding computing environments in the world. We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can fix it - there's no vendor to wait on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the boundaries of what's computationally possible, this role is for you. We're looking for researchers and experienced engineers from any background. Trading experience is a bonus, not a prerequisite. Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems

Schonfeld Strategic Advisors is seeking an AI Data Engineer to help build the data and analytics foundation powering our growing agentic AI capabilities. This is a hands-on role that sits at the intersection of AI, data engineering, and data science: you will build the pipelines and datasets that feed our internal AI platform, dig into the data itself to analyze it and engineer features, and help shape how it is used for modeling and investment research. We're looking for someone equally comfortable designing robust data solutions and exploring data to uncover insights, and who is passionate about applying these skills to complex data problems alongside our investment teams.

Jump Trading Group is committed to world-class research. We empower exceptional talent in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by fostering collaboration and mutual respect. At Jump, research outcomes drive more than superior risk-adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve complex problems.Jump Trading's Post-Trade Analytics (PTA) Team is the firm's central source of truth for understanding how we trade. We measure, analyze, and optimize every dimension of our trading activity across all global markets. Our team builds the foundational analyses that traders and quantitative researchers rely on daily to make critical decisions. Operating across highly diverse datasets, our core infrastructure collects, organizes, and stores billions of data points every day, powering the analytics behind a wide array of trading strategies.As a Data Engineer on the PTA team, you will own the critical datasets and pipelines upon which our trading decisions are built, all while developing in-depth technical and financial business expertise. Partner directly with traders and quantitative researchers to turn complex questions into data products that shape how we trade across global markets. Build, operate, and scale the robust datasets and pipelines that power our post-trade analytics and research. Directly influence business priorities, trading strategies, and execution quality through high-impact data engineering. Guarantee trust in the numbers by building robust data validation frameworks, monitoring, alerting, data lineage, and executing rapid incident response. Drive performance by optimizing data processing and workflows for speed, cost, and resilience, while diagnosing and resolving the most complex pipeline and production issues. Develop and optimize the tools, documentation, and foundational infrastructure that empower the broader research and trading teams. Other duties as needed

Jump Trading Group is committed to world-class research. We empower exceptional talent in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by fostering collaboration and mutual respect. At Jump, research outcomes drive more than superior risk-adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve complex problems.Jump Trading's Post-Trade Analytics (PTA) Team is the firm's central source of truth for understanding how we trade. We measure, analyze, and optimize every dimension of our trading activity across all global markets. Our team builds the foundational analyses that traders and quantitative researchers rely on daily to make critical decisions. Operating across highly diverse datasets, our core infrastructure collects, organizes, and stores billions of data points every day, powering the analytics behind a wide array of trading strategies. The primary role of the PTA team Data Scientist is to undertake cutting edge analysis on this data to uncover competitive edges. The role offers the opportunity to develop both business and technical expertise, while significantly contributing to Jump's business through the mining and enrichment of data. Identify relationships between business metrics and changes on the infrastructure technology Partner with trading teams to perform post trade statistical analysis on trading performance Conduct research for the purpose of modeling exchange performance Develop mathematical methodology to quantify the impact that specific internal applications have on general performance Design innovative anomaly detection algorithms to detect performance degradation Develop and improve quantitative research frameworks using Python, C++, and other software systems Other duties as assigned or needed

As the driving force behind Schonfeld’s next-generation data platforms, you will architect, operate, and continually refine underlying platform that empowers research, systematic trading, AI and risk analytics. On top of this robust foundation, you’ll build and run high-throughput pipelines spanning ultra-low-latency market-data streams to cost-efficient end-of-day workflows. Partner closely with quants, data scientists, and fellow engineers to achieve sub-minute SLAs, shape firm-wide architecture, and mentor peers. We believe diverse backgrounds and voices spark better ideas and more resilient systems, so you’ll join an inclusive culture where every perspective counts.

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions. This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow.

A Career with Point72’s Market Intelligence Team On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly, extract insights from large, complex compliance approved structured and unstructured data sets. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will: Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets.

A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. Design and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers Integrate and productionize generative AI capabilities and large language model solutions, including model serving, embeddings, and API-based workflows to augment investment workflows Implement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security Optimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response Lead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams Build and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services Mentor and coach engineers on backend and data engineering best practices, help grow engineering capability, and contribute to the technical roadmap Collaborate with security, compliance, and infrastructure partners to ensure data governance, access controls, and operational controls are integrated into solutions

We're building out a trading initiative in London, with a growing focus on listed commodities options. This expansion is supported by a mix of internal talent and experienced external hires. With a collaborative and entrepreneurial culture, the team offers a unique opportunity to help shape and scale a new desk from an early stage. The group combines deep expertise with broad trading experience and values innovation, ownership, and cross-functional collaboration. As the desk continues to grow, there will be increasing opportunities to take on broader responsibilities and contribute meaningfully to its success. Maximize revenue by identifying and monetizing short- and long-term mispricings, as well as managing the resulting positions Be able to take lots of responsibility and ownership early in your time here to drive the strategy forward Managing risk and developing market making strategies You will have lots of responsibility and ownership early on to drive strategies forward and be successful IMC is highly collaborative between traders, quants, and developers so the scope of responsibility is fairly fluid involving a mixture of data-driven analysis, quantitative modelling and algorithm development

A Career with Point72’s Infrastructure Group As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. Our Technology Infrastructure team engineers and operates the foundational technology platforms that power all Point72’s applications and businesses. Our disciplines span a broad array of technologies from datacenter infrastructure to large scale cloud services, with the shared goal of providing the most reliable, performant, modern technology platforms to improve time-to-market for our business. We also deliver end-user technology solutions to support the evolving collaboration, and productivity needs of our global teams. Our team focuses on innovation and challenging the current state of our infrastructure technology in a fast-paced, dynamic, and collaborative working environment. We are looking for a detail-oriented and dedicated Low-Latency Market Data Engineer with at least 10 years of experience in the design, implementation, and support of Linux/Unix operating systems.

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the forefront of the evolving global financial markets. Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.) Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink) Collaborate with development teams on data modeling, data ingestion, and capacity planning Work with users to ensure data integrity and availability Act as a Big Data SME and consult on a variety of data-related questions from users and developers

IMC is a global market maker, using advanced technology and sophisticated strategies to trade across major financial markets. With offices in Amsterdam, Chicago, and Sydney, we combine deep market expertise with cutting-edge systems to provide liquidity around the clock. Our Equity Options desk is a fast-growing part of the business, trading a wide range of single stocks across the APAC region. We combine best-in-class execution, proprietary models, and high-quality market data to capture opportunities in both high-frequency and directional trading strategies. As we continue to expand this area, we’re looking for an experienced Equity Options Trader to help drive performance and innovation. Run and develop equity options trading strategies across key APAC single stocks, using both your own insights and the broader team's research and tools. Collaborate closely with quant researchers, software engineers, and execution specialists to optimize pricing, hedging, and risk management. Make real-time trading decisions based on market dynamics, volatility, and flow. Contribute to the evolution of our equity options trading desk, from strategy refinement to new market expansion. Mentor junior traders and share your expertise to strengthen the team as a whole.

Our Index Options team chases edge in volatility valuation, detailed execution, and fast technology. We are making a big push in our ability to price vol and take risk, with the goal of growing into a leading volatility desk in the marketplace. We are a highly collaborative group of generalists and specialists. Together we strive to have deep expertise, ownership, and innovation in the topic areas that are important to winning in the Index Options space. Maximize revenue by identifying and monetizing short- and long-term mispricing, as well as managing the resulting positions Monitor and react to volatility shifts, liquidity changes, and macro events Take ownership of index options trading books across EU and/or US markets with a focus on opportunistic, high-risk/high-reward strategies Deploy directional and volatility-based trades with strong conviction, backed by market intuition, quantitative signals and rigorous scenario analysis Collaborate with quants and engineers to refine pricing models and volatility surfaces and to improve execution tools, automation and latency Back test signals and validate new trading ideas Provide feedback to enhance risk systems, scenario tools, and vol surfaces Perform post-trade reviews to continuously improve execution and hedging Be able to take lots of responsibility and ownership early in your time here to drive the strategy forward

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement. This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC’s technology and trading capabilities. The opportunity to be in a brand new position in a growing team Develop large-scale distributed training pipelines to manage datasets and complex models Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems Develop libraries to improve the performance of machine learning frameworks Maximize performance in training and inference using GPU hardware and acceleration libraries Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities Dig into the internals of open-source ML tools to extend their capabilities and improve performance

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures Lead, manage and grow quantitative investment portfolio Contribute to broader firm research and strategic initiatives

Improve data ETL pipeline and build tools to analyze new data efficiently. Build technologies to bolster research & trading efficiency. Expand to new markets and asset classes. Manage day-to-day operations in a fast-paced environment.

Senior Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly extract insights from large, complex structured and unstructured data sets. As a senior member of our Data Engineering team, you will help set technical direction and work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will: Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets

Our employees are our greatest asset. We have spent years building a team of talented, dedicated technologists, data-driven traders, and expert leaders with an emphasis on our core pillars: People, Process, Trading Edge, and Technology. Simplex is an in-office organization, helping to foster a collaborative and communicative culture.

Our Data Scientists conduct research through data mining and statistical modeling to discover insights from big data that are used by our investment professionals to make investment decisions. You will have the opportunity to work in a highly collegial environment that emphasizes teaching and learning as a team. In this role, you will: Tackle the challenges of featuring and modeling large unstructured data using machine learning and statistical techniques Manage all aspects of the research and analysis process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring Deliver research findings to investment teams, portfolio managers, and other internal clients Work within a team to help drive technical innovation through a collaborative R&D process

We are looking for a Data Engineer to turn messy, real-world datasets into reliable inputs for research and trading. Jane Street depends on data from a wide variety of sources to understand markets and the global economy—think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds. Clean, well-structured data is the difference between noise and a profitable trading signal. You'll work closely with trading desks to identify Jane Street's data needs, evaluate datasets, and build pipelines that ingest and transform external data. You'll figure out what data means and how best to represent it. We build our own tools and software when needed, so you'll also help shape the systems you use every day. This is a collaborative role, but you'll own your work from end to end. It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise in your data domains and use that understanding to decide what's worth building next.

Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly, extract insights from large, complex compliance approved structured and unstructured data sets. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will: Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies Build and support visualization and exploration capabilities around our big data sets

Our US Equity Options business has become one of the leading liquidity-providers in the marketplace. We’ve already created partnerships and business models to facilitate our expansion and we continue to improve our options pricing, particularly in the volatility space. IMC is highly collaborative between traders, quants, and developers so the scope of responsibility involves working with others to identify and describe mispricings, interact with the market, and push forward visibility improvements Maximize revenue by both finding, and then capitalizing on short term mispricing, as well as managing larger positions Work closely with our best-in-class research and quant teams to analyze your results and improve your approach Take lots of responsibility and ownership early to drive strategies forward and be successful

Virtu is an industry-leading financial technology firm that operates both proprietary trading and client-facing businesses in the global financial marketplace. Our cutting edge, proprietary technology is core to everything we do. We trade in over 35 countries, across 235 financial exchanges and over 25% of retail order flow in the US. is serviced by Virtu. Our team is a dedicated group of traders, quants and developers that are inspired by the unique and exciting challenges we solve every day. Our culture combines the creativity of a fast paced start up, with the stability of a disciplined financial services firm. We are a flat organization and encourage our people to innovate and lean on their teammates for support and collaboration. We have fun, work hard and strive to be virtuous in all we do. Quantitative Researcher (PhD) Internship (Singapore) Virtu's internship program offers graduate students an extraordinary opportunity to learn about the firm and the world’s financial markets. We have built a thoughtful and challenging curriculum with projects that introduce students to the many complex and ever changing problems to solve. Students can expect a company-curated global training week for our interns, real quantitative problems to solve throughout the program and engaging social events to get to know our team and culture. Location: Singapore Dates: 10 week program, starting June 7th 2027- August 13th 2027 (with some flexibility if needed). Training: Ongoing training throughout the summer and a training week held in Singapore. Projects: Real problems to solve throughout the program. Interns will work from a list of projects and have several senior mentors throughout the summer program. Perks: Daily Breakfast, Lunch Allowance, Transport Allowance, Onsite Gym & Workout Classes, Massage Sessions, Social Events Our Quantitative Strategists and Researchers are an integral part of the algorithmic research team, working to improve Virtu's trading algorithms through transforming large data sets into usable trading models. Successful quantitative researchers work well independently and collaboratively, enjoy learning and applying new algorithmic techniques, and are excited to see their ideas turn into tangible results. Interns will work directly with senior members of the team on our trading strategies used in Virtu's customer market making business. Interns in this track will apply their quantitative analysis and research skills to discover patterns that can potentially improve our trading algorithms. Through these projects, interns will learn about Virtu's market making business, learn to apply basic data analysis tools to…

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures Lead, manage and grow quantitative investment portfolio Contribute to broader firm research and strategic initiatives

We are looking for a Data Engineer to turn messy, real-world datasets into reliable inputs for research and trading. Jane Street depends on data from a wide variety of sources to understand markets and the global economy—think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds. Clean, well-structured data is the difference between noise and a profitable trading signal. You'll work closely with trading desks to identify Jane Street's data needs, evaluate datasets, and build pipelines that ingest and transform external data. You'll figure out what data means and how best to represent it. We build our own tools and software when needed, so you'll also help shape the systems you use every day. This is a collaborative role, but you'll own your work from end to end. It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise in your data domains and use that understanding to decide what's worth building next.

Onboarding novel datasets from a huge variety of sources into our platform Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams

Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams

Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams

Onboarding novel datasets from a huge variety of sources into our platform Develop, test and deploy data pipelines, applications and services Re-shaping, aggregating, enhancing and creating features from datasets Engaging with vendors and internal stakeholders to understand characteristics of datasets Defining and automating qualitative data alerts and reports Partnering closely with investment teams to ensure their data requirements are met Perform preliminary analysis and research to be shared with investment teams

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. WorldQuant is seeking exceptional individuals to join the firm as a Data Scientist. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Perform analysis and generate models of financial datasets using machine learning techniques运用机器学习的方法分析并构建金融数据模型 Verify the integrity of unstructured data and turn data into potentially valuable insights验证非结构化数据的价值并将数据转化成潜在的高质量的市场洞见 Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques应用各种算法技术开发并构建可尝试预测金融市场波动的数据

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are seeking candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Job Responsibilities (include, but not limited to the following) Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies Build and maintain tools and systems used throughout the quantitative research and portfolio management processes

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are seeking candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Job Responsibilities (include, but not limited to the following) Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies Build and maintain tools and systems used throughout the quantitative research and portfolio management processes

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are seeking candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Job Responsibilities (include, but not limited to the following) Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies Build and maintain tools and systems used throughout the quantitative research and portfolio management processes

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data that seek to predict the movement of financial market Transfer data into internal infrastructure applying variety of algorithmic techniques

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record) Autonomy to build your own research pipeline and grow your team

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record) Autonomy to build your own research pipeline and grow your team

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Lead, manage and grow quantitative investment portfolio Contribute to broader firm research and strategic initiatives

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that exploit statistically-based predictive signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Lead, manage and grow quantitative investment portfolio Contribute to broader firm research and strategic initiatives

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Lead, manage and grow quantitative investment portfolio Contribute to broader firm research and strategic initiatives

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options Independently lead, manage and grow quantitative investment portfolio (portfolio will have a separately identifiable track record) Autonomy to build your own research pipeline and grow your team

We are looking for a Data Engineer to turn messy, real-world datasets into reliable inputs for research and trading. Jane Street depends on data from a wide variety of sources to understand markets and the global economy—think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds. Clean, well-structured data is the difference between noise and a profitable trading signal. You'll work closely with trading desks to identify Jane Street's data needs, evaluate datasets, and build pipelines that ingest and transform external data. You'll figure out what data means and how best to represent it. We build our own tools and software when needed, so you'll also help shape the systems you use every day. This is a collaborative role, but you'll own your work from end to end. It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise in your data domains and use that understanding to decide what's worth building next.

We are looking for a Software Engineer with experience in high-performance, low latency systems. You’ll work closely with our quantitative researchers and developers, taking a holistic approach to design and optimize our fast-trading systems. We build systems primarily in OCaml with only small amounts of C and C++, but you don’t need any experience with OCaml in particular (we can teach it to you) or knowledge of the financial markets. The most important qualification is experience with low level systems programming and optimization, whether it is in C, C++, or any other language.

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide The firm’s complementary core offerings—market making, client execution services, and trading venues—give Virtu a competitive advantage in developing and applying innovative tools that deliver efficiencies and performance across the organization. We continuously develop and employ innovative technology, trading strategies and risk management systems that drive superior and highly scalable trading platforms and are looking for an experienced Quantitative Strategist to help us propel our technology forward in the options trading space. As a Quantitative Strategist on our Options desk, you will collaborate with our team of experienced traders, quants, and developers in a collegiate and collaborative environment that encourages cross-team exposure globally. Apply your observational skills and modern statistical methods to build predictive models, generate volatility signals, and translate them into viable trading strategies Analyze and optimize existing signals to drive strategy performance improvements Identify best opportunities to improve our existing volatility pricing models Calibrate strategies across different products and adapt to changing market regimes Collaborate with the team to implement and integrate new signals into our current trading infrastructure

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide The firm’s complementary core offerings—market making, client execution services, and trading venues—give Virtu a competitive advantage in developing and applying innovative tools that deliver efficiencies and performance across the organization. As a Quant at Virtu, you will be working on interdisciplinary teams alongside traders, quants and seasoned software engineers. The environment is collegiate and collaborative, encouraging exposure to many teams across the globe. Apply your observation skills and modern statistical methods to identify and build predictive models Research and implement new trading strategies Analyze existing strategies to identify potential improvements Develop risk models and frameworks to manage portfolio risks Create tools to automate research tasks and improve visualization of complex data sets

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide The firm’s complementary core offerings—market making, client execution services, and trading venues—give Virtu a competitive advantage in developing and applying innovative tools that deliver efficiencies and performance across the organization. As a Quant at Virtu, you will be working on interdisciplinary teams alongside traders, quants and seasoned software engineers. The environment is collegiate and collaborative, encouraging exposure to many teams across the globe. Apply your observation skills and modern statistical methods to identify and build predictive models Research and implement new trading strategies Analyze existing strategies to identify potential improvements Develop risk models and frameworks to manage portfolio risks Create tools to automate research tasks and improve visualization of complex data sets

This role is the primary ongoing development resource for Business Operations technology, primarily supporting Procurement, Finance, and Human Resources. The current priority is a data infrastructure project that consolidates cost data from several internal systems into a unified cost-attribution framework, but the role is not scoped to that project alone - it will take on a broadening range of development work across these functions over time. A defining requirement of this role is applying AI capabilities - through native AI features in existing tools, API integrations, and protocols such as MCP (Model Context Protocol) - to improve data workflows, reporting, and operational processes across these functions. In this role, you will: Lead the development efforts for our FP&A Cost Attribution Project Serve as lead developer for the development of a bitemporal PostgreSQL database that enables traceable cost allocation, with a schema designed to become more granular as business requirements evolve Build and maintain integrations pulling data from Jira, NetSuite, Device42, and Bitbucket, among other data sources, to support cost attribution logic Support the project toward its Q1 2027 deployment target, including schema documentation and handoff materials, and maintain the system once in production Lead engineering efforts in support of our Business Operations teams Work with the Procurement team to rebuild the current quote order management systems Support Finance and HR operations by building data pipelines, automating reports, and integrating systems as needs arise Act as a general-purpose development resource across these functions, prioritizing work in coordination with the Director of Operations Identify and implement native AI features within tools already in use by Procurement, Finance, HR, Compliance, and Risk, such as AI capabilities embedded in NetSuite, Jira, Confluence, or other platforms Build custom integrations using APIs, MCP, or comparable protocols to connect large language models to internal systems and workflows Evaluate current manual processes across these functions and propose and implement AI-assisted or automated alternatives Work with the Security team to maintain security best practices and appropriate data-handling controls when integrating AI tooling with internal or vendor systems

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Summary:Our GPU fleet is one of the fastest-growing and most critical parts of the firm's infrastructure, and this role is about the software that keeps it healthy, observable, and efficient. In this role you will build and own the tooling behind day-to-day GPU operations: management, monitoring, metrics collection, maintenance, and network configuration. When something misbehaves anywhere between an application and the kernel, you will help track it down. The work varies day to day by design. One day you might be shipping a new feature for our fleet automation, the next digging into a stubborn driver issue, the next mining job statistics to find where the fleet could be doing more with what it has. Build and maintain the tooling that automates GPU fleet operations: management, monitoring, metrics collection, maintenance, and network configuration. Troubleshoot software and hardware issues across the fleet, from application and network problems down to the operating system and kernel. Work with engineering teams across the firm to tune workloads and processes so they use GPUs more efficiently. Analyze GPU job statistics to surface trends, inefficiencies, and opportunities for improvement.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Summary:This role owns the journey of every machine in our fleet: from the moment a server is racked, cabled, and powered on, to the moment it is fully configured, validated, and available for users. Your mission is to make that journey zero-touch. You will design and build the automation pipeline that takes a machine through discovery, firmware and BIOS configuration, OS installation, configuration management, health validation and burn-in, and finally handoff into production, treating each stage as code that lives in Git, runs through CI/CD, and can be reviewed, tested, and rolled back like any other software. The guiding principle is GitOps for physical infrastructure: the desired state of the fleet is declared in a repository, and automation continuously reconciles reality against it. A new machine shows up as a commit; a decommission is a deletion; drift is detected and corrected by the pipeline, not by a person with a checklist. Design and build the end-to-end machine lifecycle pipeline: from power-on and network boot through OS install, configuration, validation, and production handoff. Automate hardware bring-up via out-of-band management (BMC, Redfish, IPMI): firmware updates,…

We’re looking for Software Engineers who want to help us design and build the systems and tools that run the firm. You’ll find Software Engineers in all parts of Jane Street, solving real problems in critical areas ranging from trading desks to our accounting team, as well as building foundational infrastructure, whether that means implementing network monitoring or risk models. We are big believers in functional programming and, using OCaml, a statically -typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning. Beyond our own environment, we also recognize the value of open source software, leveraging it in our daily work and releasing over a million lines of our own code as open source. We’re also always looking for ways to expand open source projects, and provide ongoing support to things like Mercurial, the OCaml compiler, and the OPAM package manager. That said, we’re interested in talented engineers with experience in any language—most of us came in with little to no practical experience in OCaml before we joined. If you’d like to learn more, you can read about our interview process and meet some of our newest hires.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Staff Software Engineer, Access & Authorization As a Staff Software Engineer on the Access & Authorization team within the Platform group, you'll help shape the systems customers use to securely access Coinbase. This team builds and operates distributed services at the intersection of security, identity, developer infrastructure, and customer experience. You'll design foundational authentication and authorization capabilities that balance strong security with a simple experience, creating leverage across every Coinbase product and partner integration. Own end-to-end design, implementation, and operation of capabilities across authentication, OAuth, sessions, tokens, 2FA, account recovery, and edge authorization. Build secure, low-latency Go and gRPC services used across Coinbase's web, mobile, API, and partner experiences, with strong observability, failure testing, and measurable SLOs. Lead technical designs for complex initiatives such as signed authorization tokens, passkeys, biometric recovery, device-aware authentication, and mobile OAuth. Partner with product, security, fraud, and infrastructure teams to balance customer conversion, account protection, regulatory requirements, and engineering constraints. Simplify integration patterns and build self-service tooling that enables product teams to adopt access and authorization capabilities safely at scale. Mentor engineers and raise the technical bar through design reviews, pairing, code reviews, and on-call participation.

Interested in learning more about Flow Traders’ IT team? Sign up below to be added to our Trading Systems Engineer Talent Pool! We are always searching for talented engineers to join our growing organization. If we think your experience aligns with our team’s mission, we will reach out for a brief exploratory call to connect and learn more about you and why you are interested in Flow Traders! This role is focused on elevating Flow Traders' GCP-focused platform-especially GKE-while maintaining strong linux and networking fundamentals. Our trading platforms span both ultra‑low‑latency bare‑metal systems and modern cloud‑native services. This role bridges on‑prem and cloud environments, strengthens global platform standards, and drives high‑impact improvements that enhance reliability, reduce toil, and support time‑sensitive trading workloads.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer on the Stablecoin team within the Developer group, you'll help build and scale Coinbase Custom Stablecoins (CCS), the platform that lets partners launch their own branded, USDC-backed stablecoins on Coinbase's infrastructure. This role sits at the intersection of backend engineering and smart contract development - you'll own the services and onchain contracts that power issuance, reserves, minting and burning, and rewards distribution for a fast-growing roster of partners. Own and evolve the smart contracts that mint, burn, and safeguard custom stablecoin supply, shipping changes in a secure and auditable way. Build and scale backend services that power onboarding, issuance, reserve accounting, and rewards distribution. Partner with product, design, and tech leads to turn the stablecoin roadmap into shipped features every quarter. Drive architectural decisions across the backend and smart contract surface, balancing security, scalability, and speed of delivery. Write high-quality, well-tested code and raise the bar for operational excellence across the team.

At IMC, technology is not a department; it's at the heart of everything we do. Developed in-house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition. IMC's Amsterdam-based C++ Execution development teams work on software that sits directly in the latency-critical loop of our technology stack and touches every part of our organisation. We connect IMC to exchanges around the world, process massive volumes of market data in real time, execute complex trading algorithms, and integrate advanced hardware solutions where software alone isn't fast enough. As a software engineer, you'll work in multidisciplinary teams alongside other engineers, traders, researchers, and quants, both locally and across our global offices, taking ownership of end-to-end product development, from requirements gathering to production. You'll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing lets us deploy to production daily. Within a complex landscape of varying systems and technologies, you'll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability. Building and maintaining the systems that connect IMC to exchanges: parsing market data feed, managing order entry, and keeping us fast and reliable on the path where latency counts. Implementing and optimising execution logic in close collaboration with traders and quants, translating trading ideas into production code. Working with our hardware teams to integrate FPGA-based systems and low-latency network solutions into our trading stack. Measuring, profiling and improving the performance of our systems. Developing expertise across the entire software development lifecycle, learning from experienced engineers along the way.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs. Collaborate with traders to understand business requirements and design technical solutions. Design, code, test, deploy and support reliable software applications efficiently to help business grow Perform comprehensive testing to ensure accuracy, stability, and minimize financial risk Foster a positive working environment and maintain strong relationships within the team Other duties as assigned or needed

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. The Central Execution Desk is looking for a Quantitative Researcher to build models, analytics, and decision systems that improve execution quality across global trading teams. The role sits at the intersection of market impact research, transaction cost analysis, causal inference, experiment design, optimization, and execution strategy. The researcher will work on understanding and improving how orders are routed, scheduled, evaluated, and optimized across brokers, algorithms, venues, markets, and trading teams. The work will combine rigorous quantitative research with practical execution-desk decision support, including market impact modeling, slippage analysis, causal inference, algo selection, broker evaluation, venue toxicity, A/B testing, and optimization under execution risk. Researching market impact, execution cost, slippage, fill quality, etc. across global markets Building models to explain and predict execution outcomes Designing and analyzing A/B experiments to identify real execution improvements Working on causal inference methods Developing optimization models for various execution objectives Supporting research into centralized inventory, liquidity, risk-transfer, and crossing-style analytics to improve portfolio-level execution outcomes Contributing to research on execution algorithms Building research tools, simulations, dashboards, and reports that help traders and PMs make better execution decisions…

Flow Traders is looking for entrepreneurial, competitive, and analytical students to join our Trading department as an Intern. What better way to find out if a career in Trading is something for you, than by experiencing it yourself as a Trading Intern! You will get a 360-degree view of our role in the financial markets, how our Traders seize opportunities, and how they work together as a team to optimize and improve their trading desk. This Trading internship is about immersing yourself in the financial markets and experiencing trading up close. You do not need to have a financial background; we will teach you all you need to know. Experience with a scientific programming language or excel is a definite advantage. Working closely with Traders and Quantitative Researchers, you will add value by working on real trading projects. You will solve problems, create new tools and/or design new strategies. You will test your project in a trading simulation.

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. Build and own core full-stack systems that deliver workflow automation, data, and analytics used daily by Point72’s Global Treasury professionals, with clear opportunities to shape product direction and impact firm-wide workflows Lead high-profile projects across the full development lifecycle, from technical design and specification to implementation, testing, and deployment into a complex production environment Design and implement responsive single-page user interfaces that surface large financial datasets and analytics to end users, driving usability and decision-making Develop and maintain backend services using modern .NET technologies, optimizing APIs for performance, scalability, and server-side pagination to support large result sets Extend and modernize existing margin calculation and financing platforms written on legacy frameworks while making targeted migrations to newer frameworks where appropriate Collaborate closely with treasury professionals, quantitative analysts, and other technology teams to translate business requirements into reliable, testable technical solutions Contribute reusable components, libraries, and engineering practices to the team’s collective technology assets to accelerate delivery and reduce technical debt Troubleshoot and resolve production incidents, improve system observability, and implement monitoring and alerting to increase platform reliability Mentor peers, participate in code reviews, and drive architectural and user experience discussions to continuously improve product quality and development practices

Our goals are to give you a real sense of what it's like to work as a Quantitative Researcher at Jane Street while also providing a truly unparalleled educational experience. You'll work side by side with our experienced Quantitative Researchers to learn how we identify market signals, analyse large datasets, build and test models, and create new trading strategies. At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. You'll spend the bulk of your internship working closely with full-time researchers on projects drawn from their own work. You'll gain a better understanding of the diverse array of challenges we consider every day, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Your day-to-day project work will be complemented by classes on the broader fundamentals of markets and trading, lunch seminars, and activities designed to help you understand the entire process of creating a new trading strategy, from initial exploration to finding and productionizing a signal.

We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production. We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

At Jane Street, quantitative traders identify market signals, analyse and execute strategies, construct quantitative models, conduct statistical analyses, build algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are central to our collaborative and cooperative office environment. You can expect to work side by side with experienced traders who are committed to teaching, guiding, and supporting our newest hires. Through hands-on, interactive training, you’ll acquire significant trading responsibilities within weeks to months of being on the desk. In parallel, you will participate in our robust year-long firmwide educational curriculum. At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.

Our goals are to give you a real sense of what it's like to work as a Quantitative Trader at Jane Street while also providing a truly unparalleled educational experience. You'll be paired with experienced quantitative traders who will teach you how to identify market signals, analyse and execute strategies, construct quantitative models, conduct statistical analysis, and build trading intuition. At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don't believe in "one-size-fits-all" modelling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. You'll work closely with two different mentors on projects relating to their day-to-day work, giving you a sense of the variety of problems we solve every day. Past projects have included analysing new or existing datasets, training predictive models, simulating potential new trading strategies, writing tools that we use in production, and even working to answer big-picture questions we haven't yet figured out. During the internship, your work is reinforced with intensive classes, workshops, and team-based mock trading sessions. These will expose you to many of the dynamics we observe in real markets, illustrate the role that we play in making markets more efficient, and help build intuition for how we think about both trading and collaborating. As a quantitative trading intern, you’ll also have the opportunity to participate in one "elective" based on your interests. Electives consist of targeted classes and immersive activities, and are designed to give you a deeper and more nuanced look into one of the many aspects of what quantitative trading can look like at Jane Street: Machine Learning, Modelling, and Data Science You'll learn how Jane Street applies advanced machine learning and statistical techniques to make models and predictions using large datasets of both real and simulated market data. You'll learn how to train and use a variety of ML models, and gain an understanding of the differences between textbook machine learning and its application to noisy and complex financial data. Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an algorithmic trading strategy. You'll analyse market data to develop a tradable…

Our goal is to give you a real sense of what it's like to work at Jane Street full time while also providing a truly unparalleled educational experience. As an intern, you are paired with full-time employees who act as mentors, collaborating with you on real-world projects we actually need done. As a Software Engineering intern, you'll learn how we use OCaml (our primary development language) in our day-to-day work, and gain exposure to the libraries and tools that are foundational to our internal systems. Some teams also use Python, so depending on the project, you might do some work with Python as well. During the internship, you'll be closely mentored by full-time software engineers. Mentors design intern projects based on their team's current needs and are heavily invested in helping interns build maintainable, high-quality software that is intended to reach production. The projects you will work on are as varied and diverse as those full-timers work on, covering a wide range of problems, from high-performance trading systems to programming language design and everything in between. If you’d like to learn more, you can read about our interview and team placement processes and get a sense of what our most recent intern projects looked like! You can also learn more about Jane Street’s internship program here.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.-------------------------------*Candidates should be interested in working in Singapore for their full-time job after graduation.------------------------------- Our APAC C++ team sits at the intersection of trading and technology — we build and maintain the live trading system, risk infrastructure, back testing infrastructure and platforms for post-trade analysis. You'll work on problems that matter, ship code that runs in production, and collaborate directly with various businesses, operations, and research teams across the firm.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs. -------------------------------*Candidates should be interested in working in Singapore for their full-time job after graduation.------------------------------- Our APAC Python team sits at the intersection of trading and technology — we build data pipelines, post-trade infrastructure, analytics platforms, and middle-office systems that the business relies on every day. You'll work on problems that matter, ship code that runs in production, and collaborate directly with trading desks, operations, and research teams across the firm.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. -------------------------------*Candidates should be interested in working in Singapore for their full-time job after graduation. *Timing of application consideration and interviews will vary to accommodate university timelines.------------------------------- We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world. At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump. Our 10-week internship program begins with a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as machine learning, trading / market mechanics, statistics, Python, C++, and our research process for signal generation. You will later be coached to successfully apply those skills during rotations with trading teams and research projects with mentorship from experienced quants/traders. You will help build predictive models, leveraging one of the largest supercomputers in the world, and devise automated trading strategies to test in the markets against world-class competition. Other duties as assigned or needed. Who Should Apply? We are seeking the…

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. -------------------------------*Candidates should be interested in working in Singapore for their full-time job after graduation. *Timing of application consideration and interviews will vary to accommodate university timelines.------------------------------- The quant trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it’s like to be a full-time quant trader at Jump. At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant trader, quant researcher, and quant developer. During our internship you will get training in all of these areas, with a focus in trading and financial markets. Topics include trading strategies and intuition, market mechanics, statistics, and our research process for signal generation. You will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant traders, researchers, and developers. You will also participate in mock trading sessions, poker training, and other modules designed to improve probabilistic thinking, risk-taking, and trader mindset. Other duties as assigned or needed.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Our distributed platform combines high-performance storage, compute, and service layers for processing and serving massive, structured, time-series datasets - built in C++ with a distributed system architecture, real-time streaming, RPC-based data transfer, and columnar on-disk storage that powers data processing and analytics workflows. Design, develop, and maintain core components across our distributed storage, compute, and service platforms - including storage engines, query and compute execution, RPC/networking layers, and distributed coordination (routing, partitioning, replication). Partner with internal stakeholders across research and engineering teams to translate data-access, compute, and performance requirements into concrete design and implementation work. Investigate and resolve production issues - from correctness bugs to performance regressions. Participate in code review, system design, feature development, and productionization.

IMC is launching a new power and gas trading business in Aarhus, Denmark – the European hub for energy trading. We are building a strong, independent, Aarhus-based team with local leadership, backed by more than 30 years of IMC’s global trading expertise. As a Graduate Software Engineer in Aarhus, you’ll have the unique opportunity to help build a brand-new technology stack that supports all aspects of energy trading – from exchange connectivity and pricing to trading algorithms and real-time data analysis. You’ll grow rapidly through our global graduate program while contributing from day one to this exciting new venture. Design and build high-performance technology that supports energy trading Work on the full software development lifecycle, from idea to deployment Develop real-time pricing and trading systems, exchange connectivity, and analytics tools Collaborate closely with traders, researchers, and other engineers Be part of a new local team in Aarhus and shape its growth and culture

Your IMC journey as a Graduate Software Engineer will begin with a five-week Global Trainee Programme led by our seasoned engineers and traders alongside graduates from all three IMC regions: Europe, the United States, and Asia-Pacific. During this traineeship, you’ll deepen your knowledge about trading and financial markets, understand the tools and systems used at IMC, and learn how to write production software, craftsmanship and advanced topics in C++, Java or Python. Your training will continue back at your local office, where you’ll receive support from your dedicated mentor, an experienced software engineer at IMC. What happens next is up to you – on our Execution teams you might build anything from advanced networks to proprietary algorithms, while on our Strategy teams you could design systems powering big data and cutting-edge analytics. Develop cutting-edge technology in advanced algorithms Support the development of our trading platform and software stack Gain experience across the entire software development lifecycle Collaborate with traders, quant researchers, and hardware engineers to improve our systems

Our summer internship programme in Amsterdam is your chance to experience life as a trader at IMC. As a Trader Intern, you will delve into the proprietary trading landscape during the first week of engaging and challenging classroom-based learning. You will have the opportunity hone your skills and apply what you’ve learned with a meaningful project and weekly trading challenges. Throughout the summer, you will receive comprehensive support from dedicated internship trainers, and mentors to guide you in your work and professional development. In our collaborative office environment, you will build a valuable network of IMC traders, researchers, analysts, and engineers. You will benefit from a highly competitive compensation package, fully-furnished corporate accommodation, catered meals, and experience IMC’s collaborative culture as if you’re already a full-time employee. Where you go from here is up to you!

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Join the EAA Compliance CXAE team within the Platform group as a Software Engineer building AI-first platforms that transform how CX Compliance agents work. This team owns the tools, services, and applications that streamline compliance and KYC processes, helping resolve customer issues faster with greater accuracy. You'll build full-stack applications using Golang and React that enable compliance agents to increase productivity, drive automation, and deliver impact at scale through custom development and third-party integrations. Build end-to-end user-facing features using Golang, React, and cloud technologies for CX compliance agent platforms Lead assessment, selection, and implementation of third-party tools and vendor integrations that extend platform capabilities Drive cross-functional outcomes on complex problems in collaboration with product, design, security, data, and peer engineering teams Own technical architecture decisions and implement scalable, high-traffic services across event-driven and distributed systems Mentor engineers on design techniques, coding standards, testing practices, and deployment processes

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. We are actively seeking a Quantitative Researcher (Ph.D.) to join our Chicago office. In this role, you will collaborate directly with our options trading group, contributing to the enhancement of existing pricing models, and spearheading the development of cutting-edge models and tools. The primary focus will be on efficiently pricing volatility-based derivatives across diverse asset classes. As a key member of the team, you will actively participate in the options research idea generation process and may also take the lead in expanding the capabilities of the quant team to further enhance the options desk. Conceptualize and implement cutting-edge derivative pricing models for single-asset derivatives, as well as pricing models for widely traded equity volatility products such as variance swaps, volatility swaps, and VIX options. Evaluate existing options pricing models, scrutinizing aspects such as calibration accuracy and Greeks stability to identify any anomalies. Investigate and propose enhancements to address identified issues. Develop more resilient and stable alternative options pricing models, including exploring and suggesting new parameterizations for the volatility surface and designing improved filtering rules for market data quotes during calibration. Develop options specific research infrastructure and libraries in Python. Analyze market data and microstructure to identify patterns, facilitating the exploration of trading ideas. Actively participate in the idea generation process for options research, contributing insights and innovations. Collaborate closely with traders, engaging in the analysis of data and jointly developing new tools and ideas to identify patterns in the market.

Schonfeld is seeking an exceptional Senior Software Engineer to join our Treasury Technology team. This team is dedicated to delivering top-tier systems that manage the firm’s securities lending and financing, repo trading, FX hedging, and collateral management. You will collaborate closely with our global Treasury Technology, Treasury Desk, and Portfolio Management teams. Your responsibilities will include designing and building business-critical applications in an agile environment, as well as providing level 3 support.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Senior Software Engineer, Backend - Platform (Tokens & Wrapped Assets) We're hiring a Senior Software Engineer to join the Tokens & Wrapped Assets team within the Platform organization. This team builds and operates the platform that issues, wraps, and transforms every asset at Coinbase, including flagship wrapped assets like cbBTC, spanning Ethereum, Base, and Solana. You'll own complex projects end-to-end, from smart contract through APIs and production rollout, designing and operating the Go services that mint, burn, bridge, and reconcile wrapped assets across chains.What you'll do: Own end-to-end delivery of complex token and wrapped asset initiatives, from smart contract deployment through API design, SLOs, and production rollout across multiple chains. Build and operate the Go services and smart contracts that mint, burn, bridge, and reconcile wrapped assets, ensuring correctness across on-chain and off-chain systems. Drive improvements to the asset transformation and migration pipeline, making it dramatically faster and safer to launch, upgrade, and migrate tokens at scale. Partner across Trading, Custody, USDC, Compliance, and the broader crypto stack to ship customer- and revenue-impacting work that advances onchain innovation. Lead on-call ownership for team services, building observability, runbooks, and operational improvements that keep Tier-0 systems reliable. Strengthen team engineering quality by onboarding and coaching junior engineers, contributing to design reviews, and establishing patterns that raise the technical bar.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer, Core Reliability on the Infra Reliability team within Platform, you'll help Coinbase scale 50x by improving reliability, security, and deployment safety across our production environment. This team owns the systems that secure service configurations and secrets, reduce customer-facing incidents, and strengthen deployment infrastructure supporting thousands of services and hundreds of daily releases. You'll lead high-impact reliability projects that make our entire service environment more resilient and safer for customers. Own the design and delivery of reliability projects and features that improve resiliency across Coinbase's service environment in partnership with other engineering teams. Partner with critical T0/T1 services to understand architecture, improve scalability, and reduce operational toil. Build and enhance systems that securely manage service configurations and secrets at scale. Improve canary-based release systems and expand deployment capabilities to support thousands of services and hundreds of daily deployments with fewer incidents. Drive reliability best practices and strengthen reliability culture across engineering teams at Coinbase.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer, Backend on the Growth Foundations team within the Consumer & Business group, you'll build and scale the core infrastructure that powers growth across Coinbase. This team owns the foundational systems behind powering efforts as: notifications at scale, incentives and referral platforms, user targeting and segmentation, lifecycle communications, and ML ranking that power more than 50% of Coinbase web and app surfaces. You'll design and ship backend systems that enable high-impact growth initiatives for Retail, Institutional, Base, and international teams while maintaining the reliability, scalability, and performance our customers depend on. Own the design and delivery of scalable distributed backend services that handle high QPS, low latency, and high reliability requirements for growth infrastructure Architect resilient service-oriented systems using modern cloud technologies, contributing across backend, data, and ML layers of the stack Partner with engineers, designers, product managers, and senior leadership to translate product and technical vision into quarterly roadmaps Lead investments in developer tooling, shared platform capabilities, and cross-team relationships that increase organizational velocity Build high-quality, well-tested production code for systems that are secure, reliable, and maintainable at scale Drive rapid experimentation by building and iterating on growth features that deliver measurable impact to user acquisition and retention

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Frontend Software Engineer - Coinbase Card Team As a Frontend Software Engineer on the Coinbase Card team within the Consumer Product Group, you'll build and ship the user-facing experiences behind Coinbase's card products, including the Coinbase One Card (credit) and the Coinbase Card (debit). This team is consolidating both products onto a unified card platform, and you'll join a small team with high ownership, greenfield feature work, and direct impact on how millions of customers discover, activate, and use their cards.

As a Senior Quantitative Developer in the Front-office Engineering organization at Man Systematic, you will work closely with Quantitative Researchers and Portfolio Managers. Your challenges will be varied and may include onboarding new datasets, implementing new trading signals, developing portfolio optimization tools, building data visualization frameworks, enhancing our research platform, and performance tuning existing code using efficient numerical algorithms and cluster-computing solutions.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our distributed platform combines high-performance storage, compute, and service layers for processing and serving massive, structured, time-series datasets - built in C++ with a distributed system architecture, real-time streaming, RPC-based data transfer, and columnar on-disk storage that powers data processing and analytics workflows. Design, develop, and maintain core components across our distributed storage, compute, and service platforms - including storage engines, query and compute execution, RPC/networking layers, and distributed coordination (routing, partitioning, replication). Partner with internal stakeholders across research and engineering teams to translate data-access, compute, and performance requirements into concrete design and implementation work. Investigate and resolve production issues - from correctness bugs to performance regressions. Participate in code review, system design, feature development, and productionization.

Eligibility: Current Bachelor's, Master's, or PhD students pursuing degrees in rigorous, highly technical fields (e.g., Computer Science, Computer Engineering) who are eligible for full-time roles starting in 2028 or 2029.Program Length: 10 Weeks (Early June – Mid August)Application Process: Please apply directly through this posting. Applications are reviewed and candidates will progress on a rolling basis. You can anticipate receiving feedback on your application within 3 weeks. PDT Partners – a quantitative investment manager - is seeking talented engineering students for Software Engineering focused internships. We are looking for interns who can add to a company that values creativity, energy, and collaborative problem solving.Throughout our 10-week program, students work closely with supportive senior developers on individual projects, receive hands-on personalized mentorship, and contribute to PDT's culture through both intern and company wide social events. Why join us? PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. Our people come from diverse disciplines, are intellectually extraordinary and our community is close-knit, down-to-earth and collaborative.Internship Projects Software Engineers at PDT are responsible for building and maintaining the technology the enables all parts of the trading life cycle. As a software engineering intern, you will work closely with expert developers on technically challenging projects to design, develop, debug, and test our software components for large handling of financial data, real-time events, and batch processing. Depending on the specific project, you may: Face problems that don't have well-defined solutions - creativity will be essential to come up with the best possible answers, including ones that explore new technologies Learn about financial markets and quantitative trading Build an understanding of various trading technologies and make contributions to them Develop tooling used for infrastructure management Contribute to the infrastructure and maintenance of large-scale data sets The internship offers opportunities to correctly apply new idioms, techniques, and algorithms in select areas, which may include: Program correctness - resource management, exception safety, reentrancy/thread safety Maintainability - portability, good coding practices, adherence to coding standards, unit testing, documentation Efficiency - optimal data structures/algorithms, understanding of high-/low- level implications and trade-offs in design choices, parallelization Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we…

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. The Data Platform team builds and operates the systems that centralize all of Coinbase's internal and third-party data, making it easy for teams across the company to access, process, and transform that data for analytics, machine learning, and powering end-user experiences. As an engineer on the team you'll contribute across the full spectrum of our systems, from foundational processing and storage to scalable pipelines to the frameworks, tools, and internal applications that make data easily and efficiently available. We have a number of open roles within the Data Platform team, each with a different focus area; read on to see if you'll be a good fit as a Data Engineering Platform Engineer. This role sits between our platform and the analysts, data scientists, and data engineers who use it every day. You'll build the SDKs, self-service apps, and abstractions that let thousands of pipelines and analyses run without those users needing to understand the plumbing underneath. Build clean software abstractions and modular, reusable components that let us support thousands of pipelines and beyond as we scale. Build and maintain data integration and processing SDKs used by data teams and internal services across Coinbase. Design and build self-service applications that let analysts and data scientists create, manage, and troubleshoot their own pipelines without deep platform knowledge. Build tooling for data security and observability: access controls across storage and access layers, data quality tracking, dataset cataloging and lineage, usage auditing. Work cross-functionally: consult upstream teams on structuring their databases to expose good data APIs, and give downstream data scientists well-designed, well-documented data models and metrics. Convert functional requests from data analysts, ML, and security & compliance into reusable, scalable patterns.

Virtu is an industry-leading financial technology firm that operates both proprietary trading and client-facing businesses in the global financial marketplace. Our cutting edge, proprietary technology is core to everything we do. We trade in over 35 countries, across 235 financial exchanges and over 25% of retail order flow in the US. is serviced by Virtu. Our team is a dedicated group of traders, quants and developers that are inspired by the unique and exciting challenges we solve every day. Our culture combines the creativity of a fast paced start up, with the stability of a disciplined financial services firm. We are a flat organization and encourage our people to innovate and lean on their teammates for support and collaboration. We have fun, work hard and strive to be virtuous in all we do.

Our goals are to give you a real sense of what it's like to work as a Quantitative Researcher at Jane Street while also providing a truly unparalleled educational experience. You'll work side by side with our experienced Quantitative Researchers to learn how we identify market signals, analyze large datasets, build and test models, and create new trading strategies. At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. You'll spend the bulk of your internship working closely with full-time researchers on projects drawn from their own work. You'll gain a better understanding of the diverse array of challenges we consider every day, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Your day-to-day project work will be complemented by classes on the broader fundamentals of markets and trading, lunch seminars, and activities designed to help you understand the entire process of creating a new trading strategy, from initial exploration to finding and productionizing a signal.

Our goals are to give you a real sense of what it's like to work as a Quantitative Trader at Jane Street while also providing a truly unparalleled educational experience. You'll be paired with experienced quantitative traders who will teach you how to identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analysis, and build trading intuition. At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. You'll work closely with two different mentors on projects relating to their day-to-day work, giving you a sense of the variety of problems we solve every day. Past projects have included analyzing new or existing datasets, training predictive models, simulating potential new trading strategies, writing tools that we use in production, and even working to answer big-picture questions we haven't yet figured out. During the internship, your work is reinforced with intensive classes, workshops, and team-based mock trading sessions. These will expose you to many of the dynamics we observe in real markets, illustrate the role that we play in making markets more efficient, and help build intuition for how we think about both trading and collaborating. As a quantitative trading intern, you’ll also have the opportunity to participate in one "elective" based on your interests. Electives consist of targeted classes and immersive activities, and are designed to give you a deeper and more nuanced look into one of the many aspects of what quantitative trading can look like at Jane Street: Machine Learning, Modeling, and Data Science You'll learn how Jane Street applies advanced machine learning and statistical techniques to make models and predictions using large datasets of both real and simulated market data. You'll learn how to train and use a variety of ML models, and gain an understanding of the differences between textbook machine learning and its application to noisy and complex financial data. Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an algorithmic trading strategy. You'll analyze market data to develop a tradable…

Our goal is to give you a real sense of what it's like to work at Jane Street full time while also providing a truly unparalleled educational experience. As an intern, you are paired with full-time employees who act as mentors, collaborating with you on real-world projects we actually need done. As a Software Engineering intern, you’ll learn how we use OCaml (our primary development language) in our day to day work, and gain exposure to the libraries and tools that are foundational to our internal systems. Some teams also use Python, so depending on the project, you might do some work with Python as well. During the internship, you'll be closely mentored by full-time software engineers. Mentors design intern projects based on their team's current needs and are heavily invested in helping interns build maintainable, high-quality software that is intended to reach production. The projects you will work on are as varied and diverse as those full-timers work on, covering a wide range of problems, from high performance trading systems to programming language design and everything in between. Our internship in the Singapore office runs for 12 weeks, from mid May to mid August, and you'll need to be available for the entire period. If these dates don't align with your academic schedule, we encourage you to apply to our Hong Kong Software Engineering internship instead, which can accommodate a wider range of start and end dates. At the beginning of the program, you'll spend time training in our Hong Kong office, and you'll also visit our New York office for a week, giving you the chance to learn and work alongside interns and full-time employees across our global offices. If you’d like to learn more, you can read about our interview and team placement processes and get a sense of what our most recent intern projects looked like! You can also learn more about Jane Street’s internship program here.

Virtu is an industry-leading financial technology firm that operates both proprietary trading and client-facing businesses in the global financial marketplace. Our cutting edge, proprietary technology is core to everything we do. We trade in over 35 countries, across 235 financial exchanges and over 25% of retail order flow in the US. is serviced by Virtu. Our team is a dedicated group of traders, quants and developers that are inspired by the unique and exciting challenges we solve every day. Our culture combines the creativity of a fast paced start up, with the stability of a disciplined financial services firm. We are a flat organization and encourage our people to innovate and lean on their teammates for support and collaboration. We have fun, work hard and strive to be virtuous in all we do.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

Virtu is an industry-leading financial technology firm that operates both proprietary trading and client-facing businesses in the global financial marketplace. Our cutting edge, proprietary technology is core to everything we do. We trade in over 35 countries, across 235 financial exchanges and over 25% of retail order flow in the US is serviced by Virtu. Our team is a dedicated group of traders, quants and developers that are inspired by the unique and exciting challenges we solve every day. Our culture combines the creativity of a fast paced start up with the stability of a disciplined financial services firm. We are a flat organisation and encourage our people to innovate and lean on their teammates for support and collaboration. We have fun, work hard and strive to be virtuous in all we do.

Virtu is an industry-leading financial technology firm that operates both proprietary trading and client-facing businesses in the global financial marketplace. Our cutting edge, proprietary technology is core to everything we do. We trade in over 35 countries, across 235 financial exchanges and over 25% of retail order flow in the US. is serviced by Virtu. Our team is a dedicated group of traders, quants and developers that are inspired by the unique and exciting challenges we solve every day. Our culture combines the creativity of a fast paced start up, with the stability of a disciplined financial services firm. We are a flat organization and encourage our people to innovate and lean on their teammates for support and collaboration. We have fun, work hard and strive to be virtuous in all we do.

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. Build high-impact, real-time treasury and financing systems used across global trading time zones, delivering tools that materially change how desks operate Design and implement scalable C#/.NET services and APIs that process trades, financing, and liquidity data with low latency and high reliability Partner with traders, funding managers, and operations to gather, refine, and translate business requirements into production software Lead the adoption and continuous improvement of DevOps practices within the team, including source control, continuous integration, and automated deployment workflows Develop responsive front-end components using React or another modern front-end framework to create intuitive internal user experiences Implement comprehensive automated testing strategies, including unit tests, integration tests, and test-driven development workflows Operate and support production systems: diagnose and resolve elevated software incidents, perform root cause analysis, and implement proactive remediation measures Identify, evaluate, and introduce new technologies and architecture patterns to improve performance, reliability, and developer productivity Collaborate and mentor as part of a distributed development team across the USA, Poland, and India to scale the platform and grow team capabilities

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Staff Software Engineer on the Platform Payments team, you'll define the engineering vision for how fiat moves into and out of Coinbase across 50+ countries and payment rails. This team builds and operates the fiat on- and off-ramps, routing, orchestration, and funds-flow services that power every customer-facing payment experience. You'll own the multi-quarter technical strategy, architect for global scale and reliability, and drive platform-level improvements that directly impact payment success rates, latency, and cost efficiency. Define and drive the multi-quarter technical strategy for Payments spanning rails, orchestration, and transfers to support new products, geos, and significant growth in payment volume. Architect and evolve the core Payments platform (rails integrations, routing, and funds-flow services) for high availability, low latency, and cost efficiency at global scale. Lead end-to-end design and rollout of large, cross-team initiatives (e.g., new global rails, decomp/migrations, resiliency programs), breaking ambiguity into clear milestones and measurable outcomes. Set and enforce technical standards for financial correctness across Payments, including idempotency, reconciliation, failure-mode handling, and auditability for all money-movement paths. Partner with FinHub, Payments Risk, Regulatory Platform, and Product to design cohesive architectures that balance customer experience, risk controls, compliance, and unit economics. Provide deep technical mentorship to senior and staff engineers across Payments pods, upleveling system design quality, review rigor, and long-term maintainability.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Payments Platform is at the front door of Coinbase’s financial ecosystem. Our mission is to move old money into crypto and power financial access and payments for the crypto economy globally. As the bridge between the traditional financial world and the crypto economy, we build and operate the fiat on- and off-ramps and payment services that let Coinbase’s customer-facing products deliver reliable, seamless payment processing and connect customer fiat funds into crypto. We’re seeking a deep technical leader to define the engineering vision for Payments, shape architectural cohesion across our global payment rails and funds-flow systems, drive platform-level reliability and cost efficiency, and lead the next evolution of how fiat moves into and out of Coinbase.

Our goal is to give you a real sense of what it's like to work at Jane Street full time while also providing a truly unparalleled educational experience. As an intern, you are paired with full-time employees who act as mentors, collaborating with you on real-world projects we actually need done. As a Software Engineering intern, you’ll learn how we use OCaml (our primary development language) in our day to day work, and gain exposure to the libraries and tools that are foundational to our internal systems. Some teams also use Python, so depending on the project, you might do some work with Python as well. During the internship, you'll be closely mentored by full-time software engineers. Mentors design intern projects based on their team's current needs and are heavily invested in helping interns build maintainable, high-quality software that is intended to reach production. The projects you will work on are as varied and diverse as those full-timers work on, covering a wide range of problems, from high performance trading systems to programming language design and everything in between. If you’d like to learn more, you can read about our interview and team placement processes and get a sense of what our most recent intern projects looked like! You can also learn more about Jane Street’s internship program here.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Staff Software Engineer, Customer Administration The Customer Administration Engineering (CAE) team is a core pillar of Coinbase's Enterprise Applications and Architecture (EAA) org, responsible for building and operating the secure, foundational platforms that power customer data operations across Coinbase. Our flagship product, Control Center, is Coinbase's secure system of action for internal specialists across CX, Compliance, Legal, Global Investigations, Trust and Risk, and dozens of other teams. It serves approximately 7,000 internal users via its UI and powers a growing ecosystem of internal tools and AI automation via its backend APIs and MCP. We are at an exciting inflection point: evolving Control Center from a human-specialist UI into a modular, AI-agent-ready operations platform. As a Staff Software Engineer, you will be a technical anchor for the CAE team, driving architectural decisions, mentoring engineers, and leading the delivery of high-impact, cross-cutting platform capabilities. Architect and deliver foundational platform capabilities including MCP tool registries, AI orchestration layers, risk-based access automation, and the away-team contribution model that enables product groups across Coinbase to build on the platform safely and at speed Drive the evolution of Control Center into an AI-agent-ready, headless operations platform, designing and implementing MCP procedure constructs, agentic guardrails, HITL orchestration, and evaluation frameworks that enable both human and autonomous AI agents to execute sensitive customer operations securely Partner with the Engineering Manager and Product counterparts to define architectural roadmaps, author TDDs, lead design reviews, decompose complex initiatives into deliverable milestones, and raise the engineering quality bar through code review and mentorship Build and maintain highly reliable, secure, distributed backend services, owning SLO definitions, observability instrumentation, incident response, and operational readiness for Tier-1 platform systems Collaborate across EAA engineering teams, Product Engineering, and Security Engineering to deliver cross-functional outcomes and drive shared platform primitives that eliminate duplicated infrastructure across the portfolio

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

Our goals are to give you a real sense of what it’s like to work at Jane Street as a Machine Learning Researcher while also providing a truly unparalleled educational experience. You’ll work side by side with experienced ML Researchers on projects that we’ve selected for their combination of novel ML ideas and relevance to real-world systematic trading strategies. You'll learn how we think about markets through challenging classes and activities, and practice using established methods alongside our own unique twists to train practical models. At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you'll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. Trading poses unusual challenges—large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. You’ll spend the bulk of your internship working closely with full-time machine learning researchers on projects drawn from their own work. You might conduct an end-to-end study of an unexplored dataset, try a new modeling paradigm for a thorny problem, or consider blue-sky approaches that we’re still trying to figure out. The problems we work on rarely have clean, definitive answers, and they often require insights from colleagues across the firm with different areas of expertise. Depending on the day, you might be diving deep into market data, tuning hyperparameters, debugging training issues, or analyzing the predictions your model makes. Note that given the IP-sensitive nature of machine learning research at Jane Street, it is unlikely that any research findings associated with the internship will be suitable for outside academic publication.

Our goals are to give you a real sense of what it’s like to work as a Quantitative Researcher at Jane Street while also providing a truly unparalleled educational experience. You’ll work side by side with our experienced Quantitative Researchers to learn how we identify market signals, analyze large datasets, build and test models, and create new trading strategies. At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you'll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. You’ll spend the bulk of your internship working closely with full-time researchers on projects drawn from their own work. You’ll gain a better understanding of the diverse array of challenges we consider every day, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Your day-to-day project work will be complemented by classes on the broader fundamentals of markets and trading, lunch seminars, and activities designed to help you understand the entire process of creating a new trading strategy, from initial exploration to finding and productionizing a signal.

Our goals are to give you a real sense of what it's like to work as a Quantitative Trader at Jane Street while also providing a truly unparalleled educational experience. You'll be paired with experienced quantitative traders who will teach you how to identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analysis, and build trading intuition. At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you’ll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. You'll work closely with two different mentors on projects relating to their day-to-day work, giving you a sense of the variety of problems we solve every day. Past projects have included analyzing new or existing datasets, training predictive models, simulating potential new trading strategies, writing tools that we use in production, and even working to answer big-picture questions we haven't yet figured out. During the internship, your work is reinforced with intensive classes, workshops, and team-based mock trading sessions. These will expose you to many of the dynamics we observe in real markets, illustrate the role that we play in making markets more efficient, and help build intuition for how we think about both trading and collaborating. As a quantitative trading intern, you'll also have the opportunity to participate in one "elective" based on your interests. Electives consist of targeted classes and immersive activities, and are designed to give you a deeper and more nuanced look into one of the many aspects of what quantitative trading can look like at Jane Street: Machine Learning, Modeling, and Data Science You'll learn how Jane Street applies advanced machine learning and statistical techniques to make models and predictions using large datasets of both real and simulated market data. You'll learn how to train and use a variety of ML models, and gain an understanding of the differences between textbook machine learning and its application to noisy and complex financial data. Algorithmic Trading and Market Microstructure You'll learn the end-to-end process of developing an algorithmic trading strategy. You'll analyze market data to develop a tradable…

Our goal is to give you a real sense of what it's like to work at Jane Street full time while also providing a truly unparalleled educational experience. As an intern, you are paired with full-time employees who act as mentors, collaborating with you on real-world projects we actually need done. As a Software Engineering intern, you’ll learn how we use OCaml (our primary development language) in our day to day work, and gain exposure to the libraries and tools that are foundational to our internal systems. Some teams also use Python, so depending on the project, you might do some work with Python as well. During the internship, you'll be closely mentored by full-time software engineers. Mentors design intern projects based on their team's current needs and are heavily invested in helping interns build maintainable, high-quality software that is intended to reach production. The projects you will work on are as varied and diverse as those full-timers work on, covering a wide range of problems, from high performance trading systems to programming language design and everything in between. If you’d like to learn more, you can read about our interview and team placement processes and get a sense of what our most recent intern projects looked like!

Our goal is to give you a real sense of what it's like to work at Jane Street full time while also providing a truly unparalleled educational experience. As an intern, you are paired with full-time employees who act as mentors, collaborating with you on real-world projects we actually need done. As a Software Engineering intern, you’ll learn how we use OCaml (our primary development language) in our day to day work, and gain exposure to the libraries and tools that are foundational to our internal systems. Some teams also use Python, so depending on the project, you might do some work with Python as well. During the internship, you'll be closely mentored by full-time software engineers. Mentors design intern projects based on their team's current needs and are heavily invested in helping interns build maintainable, high-quality software that is intended to reach production. The projects you will work on are as varied and diverse as those full-timers work on, covering a wide range of problems, from high performance trading systems to programming language design and everything in between. If you’d like to learn more, you can read about our interview and team placement processes and get a sense of what our most recent intern projects looked like!

We’re looking for Software Engineers who want to help us design and build the systems and tools that run the firm. You’ll find Software Engineers in all parts of Jane Street, solving real problems in critical areas ranging from trading desks to our accounting team, as well as building foundational infrastructure, whether that means implementing network monitoring or risk models. We are big believers in functional programming and, using OCaml, a statically -typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning. Beyond our own environment, we also recognize the value of open source software, leveraging it in our daily work and releasing over a million lines of our own code as open source. We’re also always looking for ways to expand open source projects, and provide ongoing support to things like Mercurial, the OCaml compiler, and the OPAM package manager. That said, we’re interested in talented engineers with experience in any language—most of us came in with little to no practical experience in OCaml before we joined. If you’d like to learn more, you can read about our interview process and meet some of our newest hires.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

We're setting up a new engineering team in Shanghai, working hand-in-hand with Portfolio Managers to develop and deploy new systematic trading strategies. As a Lead Software Engineer in the Front-Office Engineering organization, your code will have a direct line of sight to live markets. Your work will span the full lifecycle of strategy development: onboarding new datasets, implementing trading signals, building portfolio optimization tools, developing data visualization frameworks, and enhancing our research platform. You'll solve performance-critical problems using efficient numerical algorithms and cluster-computing solutions. This is a chance to get in early and do engineering work that visibly moves the needle.Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: NumPy, SciPy, Pandas, statsmodels, and scikit-learn to name a few of the libraries we use extensively. For storage, we rely heavily on MongoDB and MS SQL. We use Control-M and Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerisation, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries.Key Competencies

We're setting up a new engineering team in Shanghai, working hand-in-hand with Portfolio Managers to develop and deploy new systematic trading strategies. As a Software Engineer in the Front-Office Engineering organization, your code will have a direct line of sight to live markets. Your work will span the full lifecycle of strategy development: onboarding new datasets, implementing trading signals, building portfolio optimization tools, developing data visualization frameworks, and enhancing our research platform. You'll solve performance-critical problems using efficient numerical algorithms and cluster-computing solutions. This is a chance to get in early and do engineering work that visibly moves the needle.Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: NumPy, SciPy, Pandas, statsmodels, and scikit-learn to name a few of the libraries we use extensively. For storage, we rely heavily on MongoDB and MS SQL. We use Control-M and Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerisation, Ansible for architecture automation, and Slack for internal communication. Our technology list is never static: we constantly evaluate new tools and libraries.Key Competencies

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. We're hiring a Senior Software Engineer, Frontend to join the Consumer Payments team within the Consumer Product Group. This team owns the infrastructure, experiences, and controls that power how millions of users send, receive, and move crypto on Coinbase. You'll own critical user journeys across web and mobile, building fast, reliable, and delightful payment flows while mentoring junior engineers and driving down customer friction at scale.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer within the Security Platform Engineering group, you'll serve as the primary execution anchor for our most critical regulatory and cryptographic initiatives. This team owns Coinbase's Tier-0 Multi-Party Computation (MPC) engine, which secures 99% of assets under custody. You'll lead the development of high-availability services that directly protect customer assets and ensure global regulatory compliance from our Israel office. Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance Define technical strategies with a multi-quarter horizon, bringing clarity to highly ambiguous requirements for novel cryptographic solutions Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Staff Software Engineer within the Security Platform Engineering group, you'll serve as the primary execution anchor for our most critical regulatory and cryptographic initiatives. This team owns Coinbase's Tier-0 Multi-Party Computation (MPC) engine, which secures 99% of assets under custody. You'll lead the development of high-availability services that directly protect customer assets and ensure global regulatory compliance from our Israel office. Lead the architecture and execution of critical cryptographic infrastructure, including services required for global regulatory compliance Define technical strategies with a multi-quarter horizon, bringing clarity to highly ambiguous requirements for novel cryptographic solutions Own risky and ambitious initiatives, implementing secure and resilient cryptographic protocols in a high-stakes, zero-trust environment Shape engineering quality practices as a technical anchor and mentor within a team of senior engineers, driving rigorous code reviews and eliminating single points of failure Build alignment and secure commitment from cross-functional partners across Security, Product, and Policy to drive flawless execution

The Quant Developer will be responsible for building and maintaining the research infrastructure and backtesting frameworks that support quantitative research, working closely with researchers to translate research ideas into robust, scalable, and maintainable research systems. The role spans multiple areas, including system design, data pipeline development, and the development of research and backtesting frameworks.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Software Engineer on the CX Shared Agent Platforms and SFDC Solutions team, you'll build and extend the platforms that power customer service and compliance operations across Coinbase. This team, part of the Enterprise Applications and Architecture org, owns CX tooling including Salesforce, Maestro QA, and Assembled, enabling agents to resolve customer issues and manage KYC workflows with speed and accuracy. You'll develop full-stack services and integrations that drive agent productivity, support strategic platform transitions, and deliver impact at scale from Brazil. Build and ship backend services using Golang and gRPC that extend CX platform capabilities and support agent workflows across compliance and consumer teams. Own the evaluation, integration, and ongoing support of third-party SaaS platforms, ensuring seamless connectivity across the CX tooling ecosystem. Partner with product, design, security, and data teams to deliver cross-functional solutions to complex operational and compliance challenges. Drive engineering best practices across the team, including code reviews, testing strategies, deployment processes, and observability standards (metrics, logging, tracing). Translate complex technical concepts into clear recommendations for non-technical stakeholders across CX, product, and leadership teams.

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. As a software engineer, you will help build the next generation of data infrastructure at the firm—thinking holistically about systems across APIs, data models, cloud infrastructure, and user experience. As demand for direct data access, enriched datasets, and AI-powered workflows grows, you will help create a unified, enterprise-grade data platform with clear ownership, shared standards, and the organizational structure to deliver trusted data at scale. Specifically, you will: Build and maintain agentic workflows and tooling that leverage large language models Define the service contracts, data models, and integration patterns that will serve as future firmwide standards for data access Build high-impact, enterprise-grade data services and pipelines that support research, trading, and AI projects across the firm Ensure backend systems are reliable, observable, and performant at scale Containerize services and orchestrate workloads to ensure resilient, observable, and scalable deployments together with cloud engineers Contribute to CI/CD pipelines, infrastructure as code, and deployment automation

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. We're hiring a Senior Staff Software Engineer to join the Blockchain Platform team within Platform and define the technical vision for the infrastructure that connects every Coinbase product to the broader crypto economy. This team builds and operates the nodes, indexers, wallets, and orchestration systems that power every core crypto action (send, receive, stake, bridge, wrap, and more) across 60+ blockchain networks and 300+ tokens. You'll lead the next generation of architecture for our wallet stack, indexing infrastructure, and asset identifier systems, directly shaping how millions of transactions execute with the speed, cost efficiency, and security our customers expect. Define and drive the multi-quarter technical strategy for Blockchain Platform, spanning nodes, wallets, indexing, and asset lifecycle, to support new chain integrations, new products, and significant growth in onchain transaction volume. Architect and evolve core platform infrastructure, including nodes, indexers, wallet systems, and liquidity primitives, for high availability, low latency, cost efficiency, and security at global scale. Lead end-to-end design and rollout of large, cross-team architectural initiatives (e.g., wallet stack rearchitecture, indexing stack redesign, asset identifier system), breaking high ambiguity into clear milestones and measurable outcomes. Drive engineering standards for correctness, security, reliability, testing, and observability across all crypto asset operations, including transaction finality, key management, reconciliation, and failure-mode handling. Own data-driven reliability improvements by using observability signals (transaction success rates, node reliability, indexing latency, on-call burden) to identify structural platform gaps and lead systematic remediation. Represent Blockchain Platform in executive and cross-org forums, communicating tradeoffs, aligning stakeholders on strategy, and securing buy-in for high-impact technical bets in areas like Yield and Stablecoins.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Software Engineer - Compliance CXAE (Charlotte, NC) As a Software Engineer on the EAA Compliance CXAE team within the Platform group, you'll build the AI-first applications and services that power how CX Compliance agents work every day. This team is responsible for the platforms, tools, and integrations that streamline compliance processes, helping agents resolve customer issues and KYC workflows faster, with greater accuracy, and at scale. You'll own full-stack feature delivery across Golang and React, ship third-party integrations, and directly improve the productivity and compliance experience for millions of Coinbase customers. This role requires you to be based in Charlotte, NC and is not eligible for fully remote work. Own end-to-end development of user-facing features across the compliance agent platform using Golang, React, and cloud technologies, from design through production deployment. Lead assessment, selection, and implementation of third-party tools and vendor integrations that extend platform capabilities and accelerate delivery. Partner with product, design, security, and data teams to deliver cross-functional solutions to complex compliance and CX problems. Build and maintain scalable, high-traffic services leveraging event-driven architectures, caching, load balancing, and observability tooling across AWS and Kubernetes. Mentor engineers on design patterns, coding standards, testing strategies, and deployment best practices to raise the overall quality bar for the team.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Coinbase's Developer Infrastructure - Test team exists for one reason: every Coinbase engineer should get fast, reliable test signals so the company can test and ship faster. As AI accelerates the pace of code generation, test infrastructure is becoming a critical path for how quickly Coinbase delivers value to customers. As a Staff Software Engineer on the Platform team, you'll set the technical direction for how Coinbase tests and ships software, owning the systems that turn testing into a speed advantage instead of a bottleneck. Define and own the technical strategy for test infrastructure across Coinbase engineering, with feedback speed as a core design constraint. Build and operate core test infrastructure services, including test orchestration, smart test selection, sharding, flaky-test detection, and test result analysis. Drive measurable improvements in test feedback speed and signal reliability so engineers can ship with confidence and without reruns. Own systems end to end, including architecture, observability, SLOs, and on-call operations. Partner with engineering teams across Coinbase to identify bottlenecks and turn them into platform improvements. Mentor engineers, raise technical standards, and shape how the organization approaches test infrastructure.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Staff Software Engineer, Backend (Platform - Identity IDV) We're hiring a Staff Software Engineer to own the multi-year technical vision and architecture for Coinbase's identity verification platform within Platform. This platform powers the decision engine, vendor orchestration, and infrastructure that determines whether an identity is genuine at global scale - processing approximately 700K verifications per month across Retail, Prime, and Institutional business lines. You'll define the identity trust layer that every Coinbase product will be built on, leading a three-year arc from platform consolidation through vendor-agnostic orchestration to self-serve scalability for the next billion users. Own end-to-end architecture and technical direction for Coinbase's IDV platform - the decision engine, vendor orchestration layer, and verification infrastructure that all business lines depend on. Lead platform consolidation by migrating all IDV onto a single decision-engine-driven platform, retiring 100+ legacy rules and fragmented paths, and eliminating single-vendor points of failure. Design and build vendor-agnostic orchestration with automated, real-time routing and failover that selects the optimal vendor per request and dynamically balances fraud prevention (FAR) against user access (FRR/SCR). Scale the platform to support every new product, region, and verification modality (document, biometric, liveness) with self-serve configuration so any Coinbase team integrates IDV without a dependency request. Drive cross-team technical strategy and set the abstractions, APIs, and platform patterns that the broader Identity org builds on, influencing at the Staff level across multiple pods.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Own end-to-end risk controls for ACH payments, scaling fraud prevention processes to keep pace with business expansion. Drive detection and mitigation of fraudulent deposit activity by implementing targeting logic against bad actors and high-risk behavior. Lead quantitative analysis of fraud performance, measuring rule precision and recall, assessing the financial impact of decisions, and surfacing tradeoffs to leadership with clear, data-backed recommendations. Partner cross-functionally with Product, Growth, Data Science, Risk ML, and Engineering to develop and iterate on risk management strategies, including the transition from heuristic rules to model-driven and synchronous friction controls. Execute investigations into anomalous customer and transaction behavior, proactively identifying monitoring gaps and closing them before they become losses.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer on the Risk Engineering team within the Consumer & Business group, you'll build and optimize the systems that detect and prevent fraud, manage credit and market risk, and protect millions of users from financial threats in real time at crypto-market scale. You'll provide technical leadership for end-to-end projects, drive architectural decisions that shape our risk detection and mitigation systems, and deliver complex features from inception through production. Your work directly reduces financial loss and keeps Coinbase users safe. Lead the design and delivery of complex risk platform features end-to-end, from architecture through implementation, deployment, and monitoring, with stringent requirements for correctness, performance, and reliability Drive architectural decisions that shape Coinbase's risk detection and mitigation systems, translating ambiguous business requirements into scalable working architectures that balance fraud prevention with user experience Partner cross-functionally with Data Science, ML, Risk Analysts, Product, and Compliance teams to build proactive systems (real-time decisioning engines, model-driven fraud detection) and reactive solutions (incident response tooling, compliance-driven risk controls) Build AI-native risk systems that leverage fleets of agents to automate complex detection and response workflows, significantly reducing the need for manual intervention Strengthen the team by mentoring engineers, conducting rigorous code reviews, writing technical design documents for complex systems, and championing engineering best practices across the codebase Own system quality and operational excellence by proactively addressing technical debt, driving bug triaging, and leading incident response and post-mortems to ensure platform reliability

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Senior Software Engineer, AI Transformation You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Senior Software Engineer on the IT Operations team within ESTO. This team builds custom products through full-stack engineering and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. Own end-to-end delivery of AI products by building production-grade distributed systems, including serving infrastructure, data pipelines, and deployment orchestration across the full stack throughout the SDLC. Drive platform adoption by designing clean APIs, abstractions, and developer-facing tooling that enable product teams to integrate AI capabilities without bespoke infrastructure requests. Partner with engineering and product leadership across Platform and other product groups to align infrastructure requirements, resolve cross-team technical dependencies, and define shared platform contracts. Shape engineering standards and technical culture by establishing architectural patterns, mentoring engineers, and raising the bar on code quality, observability, and operational excellence. Build full-stack applications that power internal AI products and infrastructure using Go or Python.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Staff Software Engineer, Core AI Infrastructure You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Senior Software Engineer on the IT Operations team within ESTO. This team builds custom products through full-stack engineering and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. Own end-to-end delivery of AI products by building production-grade distributed systems, including serving infrastructure, data pipelines, and deployment orchestration across the full stack throughout the SDLC. Drive platform adoption by designing clean APIs, abstractions, and developer-facing tooling that enable product teams to integrate AI capabilities without bespoke infrastructure requests. Partner with engineering and product leadership across Platform and other product groups to align infrastructure requirements, resolve cross-team technical dependencies, and define shared platform contracts. Shape engineering standards and technical culture by establishing architectural patterns, mentoring engineers, and raising the bar on code quality, observability, and operational excellence. Build full-stack applications that power internal AI products and infrastructure using Go or Python.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Own the EAA-CX AI maturity and developer-experience roadmap in partnership with engineering leadership, embedding with squads to surface opportunities, prototyping on Coinbase's existing AI platform, and driving adoption through working demos and feedback loops. Lead platform excellence workstreams that improve reliability, observability, change-failure rate, and operational readiness for Tier-1 systems, partnering with engineering managers to ensure practices persist on the teams. Define build-versus-buy strategy for developer-experience and AI tooling across EAA-CX, evaluating what to build internally, adopt from partner teams, procure from vendors, or retire. Provide Staff-level architectural coverage across squads facing complex challenges, ramping in to land architecture or delivery and ramping off while maintaining portfolio-wide coherence. Build highly reliable, secure distributed backend services with full SLO ownership, observability, and incident response, ensuring automated outputs and production changes are traceable, reviewable, and safe in a regulated environment.

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. Shape high-impact treasury applications used by internal financing, liquidity, and margin teams to make faster, better-informed decisions Design intuitive user experiences that translate complex financial data into clear workflows for analysis, monitoring, and action Build responsive single-page applications that expose large data sets without compromising usability, performance, or reliability Develop back-end services that deliver trusted data and calculations through clean, scalable service interfaces Implement efficient pagination and data retrieval patterns that support demanding client-side controls and large-volume reporting Partner with product owners, business users, and engineers to translate treasury needs into practical, durable technology solutions Improve application quality through thoughtful design, testable code, peer review, and disciplined engineering practices Contribute to architecture decisions across front-end and back-end components as the platform evolves Build deep knowledge across the technology stack and apply it to modernize systems supporting Point72’s treasury capabilities

We’re looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges— large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production. We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

We’re looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges— large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production. We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

A CAREER WITH POINT72’S TECHNOLOGY TEAMAs Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO• Build software used to support global trading across time zones• Work closely with business users to establish and refine requirements• Participate in identifying new technologies to continuously improve software systems• Implement DevOps practices within the team (GitHub/GitLab, Jenkins)• Provide production support to diagnose and resolve elevated application software production incidents and implement proactive remediation measures WHAT’S REQUIRED• Bachelor’s degree in computer science or another technical/scientific field• Minimum 8 years object-oriented programming experience with C#/.NET• Significant experience working with / understanding databases - primarily MS SQL Server• Must have experience in writing automated tests, unit tests, Test-Driven Development• Knowledge of design/architecture patterns, distributed systems, microservices, observability and monitoring, and containerization (Docker)• Willingness to work as part of a distributed Dev Team - 3 time zones (USA, Poland, India)• Strong problem solving and analytical skills• Exceptional verbal and written communication skills• Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLEWe invest in our people, their careers, their health, and their well-being. When you work here, we provide:• Health care benefits• Maternity, Adoption & related leave policies• Generous paternity and family care leave policies• Employee Assistance Program & Mental wellness programs• Transportation support• Tuition assistance ABOUT POINT72Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com.

We’re looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges—large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production. We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems, or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences, and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work side by side with experienced researchers who are committed to teaching, guiding, and supporting our newest hires, learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production. We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

At Jane Street, quantitative traders identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analyses, build algorithmic trading systems, manage risk, develop new businesses, and more. Our trading desks are central to our collaborative and cooperative office environment. You can expect to work side by side with experienced traders who are committed to teaching, guiding, and supporting our newest hires. Through hands-on, interactive training, you’ll acquire significant trading responsibilities within weeks to months of being on the desk. In parallel, you will participate in our robust year-long firmwide educational curriculum. At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you'll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem.

At PDT, technology is a core driver of our business. Engineers tackle complex technical and quantitative challenges that advance our research methodology and investment approach. We hire exceptionally talented engineers and give them room to grow in a dynamic, supportive environment. The people who thrive here value breadth, continuous learning, and long-term investment in their craft. They find energy in growth that comes from rotating through different teams across the organization. This kind of mobility is central to how we work, allowing engineers to build deep, varied skills and make meaningful impact over time. Our hiring reflects this collaborative culture. We assess every candidate against one talent bar firmwide, then match engineers to the teams that best set them up for success. As a Software Engineer at PDT, you'll build and maintain the technology that powers our quantitative trading business from the data that drives our models to the systems that execute every trade, and everything in between. This is a hybrid position and will require the person to work from our London office at minimum 3 days a week To learn more about the teams hiring, please see a brief description below. We encourage you to apply to learn more about the different opportunities at PDT.

A Career with point72’s technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

A Career with Point72's Trading Research Team Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets Deploy, monitor, and operate production services, including automated testing, release processes, and incident response Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

Our summer internship programme in Amsterdam is your chance to experience life as an engineer at IMC. As a Software Engineer Intern, you will go beyond writing code and designing technology: you’ll gain insight into algorithm complexity and data structures, get to know IMC’s unique business model, and build valuable connections with our trading and technology teams. Throughout the summer, you will work on a relevant project while receiving comprehensive support from dedicated internship trainers, and a one-on-one mentor to guide you in your work and professional development. You will benefit from a highly competitive compensation package, fully-furnished corporate accommodation, catered meals, and experience IMC’s collaborative culture as if you’re already a full-time employee. Where you go from here is up to you! Enhance your knowledge of algorithm complexity, data structures, and writing fluent code Support the development of our trading platform and software stack Gain experience across the entire software development lifecycle at IMC especially by collaborating with traders, researchers and hardware engineers Be an integral part of your team by helping to identify, implement and validate changes to IMC’s trading algorithm and system Enhance your coding skills by participating in individual and collaborative, competitive hackathons and technology challenges Attend workshops, presentations, trainings, and social activities alongside the full internship cohort

Virtu is looking for a Frontend Software Engineer to join our Core Development team. This team creates powerful trading tools, which facilitate the operation of a high-performance system, deployed in financial marketplaces around the world. We are looking for passionate engineers who love delivering extraordinary software in a highly visible, front-office engineering role within the organization. Collaborate with traders and researchers to build and maintain live trading user interfaces Scale up capacity and performance of C# software components and end user experiences Create new custom features to improve visualization of real-time trading data Handle multiple concurrent projects while adapting quickly to changing priorities Be a great teammate and effective communicator across teams

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer on the Consumer & Business Advanced Trading team, you'll architect and deliver Coinbase's next-generation trading systems for the IntX product, working from Singapore in close collaboration with the Trading team. This team builds the fastest, most reliable crypto trading infrastructure globally. You'll lead multi-quarter, cross-organizational initiatives that define how millions of customers trade, while mentoring engineers and raising the technical bar across the organization. Own the technical vision and architecture for mission-critical trading systems, including order management, execution engines, and reliability infrastructure. Drive multi-quarter projects across multiple engineering teams from design through production delivery. Lead system design and code review processes that elevate engineering quality and set standards for the trading stack. Partner with Product Management and Design to align product strategy with long-term technical bets and roadmap priorities. Shape the strategic direction of the trading platform by identifying high-leverage technical initiatives and driving consensus across organizational boundaries. Deepen engineering talent across the team by coaching engineers at various levels and developing the next generation of trading infrastructure leaders.

We are looking for an experienced professional to work as part of the Finance Technology team. In addition to tactical development, you will be responsible for delivering and creating programs to modernize and scale the platform through technology upgrades, cloud technology adoption, and re-architecting business processes. You will work alongside world-class engineers, partnering directly with Finance stakeholders to understand existing workflows and deliver scalable replacements. This position offers deep domain exposure across FP&A, investor reporting, and compensation, and contributes to the modernization roadmap. Specifically, you will: Build software applications and deliver software enhancements and projects supporting finance and investor processing. Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies. Be responsible for system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external vendors and services. Contributing to architecture of core platforms and accelerating modernizing leveraging AI tools Work with DevOps teams to manage and resolve operational issues and leverage CI/CD platforms while following DevOps practices within the team and projects. Continuously improve the platforms using the latest technologies and software development ideas. Participate in initiatives to transition select applications to cloud platforms, enhancing stability, scalability and performance of the existing platform. Develop close working relationships and collaborate with other technology teams to deliver cross-departmental initiatives.

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. Design and implement high-performance infrastructure to support large-scale generative AI and machine learning workloads, enabling faster model iteration and real business impact Design and operate distributed systems for model training, hyperparameter tuning, inference, and data preprocessing pipelines to deliver reliable end-to-end machine learning (ML) workflows Collaborate with ML researchers and engineers to produce models, optimizing compute utilization, training throughput, and inference latency Develop and automate deployment, orchestration, and CI/CD pipelines for models and data workflows using container orchestration and infrastructure-as-code (IaC) Implement observability, monitoring, and cost-management strategies for GPU and accelerator compute environments to maintain predictable performance and spend Evaluate, integrate, and benchmark emerging hardware and software technologies across cloud and on-prem environments to improve scalability and throughput Drive security, compliance, and operational runbooks for GenAI infrastructure including access controls, secrets management, and incident response procedures Troubleshoot, profile, and optimize performance across GPU and CPU compute stacks to remove bottlenecks and increase reliability Document architecture, operational practices, and mentor engineers to expand team capability and accelerate adoption of production-ready GenAI infrastructure

Man Group's Financial Risk team is responsible for managing all aspects of business, credit, market and liquidity risk insofar as they relate to the risks of Man Group (as distinct from the risks faced by third party investors in the investment products managed by Man). The identification, measurement and mitigation of business, credit, market and liquidity risks Provide independent risk oversight of FRM, AHL and for the Structured Products Development of risk appetite and limit frameworks and monitoring of risks in accordance with these frameworks Economic capital reporting and analysis (+ ICAAP submission) Development and maintenance of methodologies, models, systems and policies in support of this (including the operational risk model) Oversight of structured products - monitor risk of Loans to Funds, transparency into monthly rebalance, impact on Illiquid buyout pipeline and Man's liquidity requirements, review of new products Investment risk to AHL and FRM businesses and oversight of risks and risk functions - as an alternate to manager Oversee process improvements into counterparty monitoring and exposure reporting, liaising with Tech & Ops as appropriate Review and improvement of Economic Capital models within constraints of E&Y Model Review (Investment book, Credit, Market-FX, Pension fund)

As a Quant Developer at Man Group you will be part of one of our flagship teams in Man’s systematic trading arm - Man AHL. The team works hand-in-hand with Quant Researchers focusing on equity market neutral models. Your challenges will be varied, and will involve building new alphas and new trading strategies. Quant Developers at Man Group are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code. Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.

AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations, and sovereign wealth funds, as well as financial advisors. The TeamTechnology has long been essential ingredient to our success, and as an associate in quantitative research development team, you will be knee-deep in mission critical challenges that make our investment ideas a reality. Collaborating side by side with researchers and portfolio analysts, you will be responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and systematic investing that powers AQR.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Our employees are our greatest asset. We have spent years building a team of talented, dedicated technologists, data-driven traders, and expert leaders with an emphasis on our core pillars: People, Process, Trading Edge, and Technology. Simplex is an in-office organization, helping to foster a collaborative and communicative culture.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We're seeking a senior developer to join our team. You will design, build, and operate large-scale data and ETL systems that power the firm's research and investment workflows. This is a high-autonomy role - you'll own critical systems end-to-end, make architectural decisions, and deliver solutions with minimal guidance. We need someone who is self-directed, able to lead themselves, take ownership of outcomes, and drive complex problems to resolution independently. You should be comfortable communicating across teams, articulating technical trade-offs to stakeholders, and mentoring others through code review and collaboration. Design, develop, and own backend services and data pipelines that process large volumes of data optimally and at scale Architect data storage and processing solutions, including schema design, query optimization, and data modeling Build and maintain APIs, messaging systems, and integration layers that connect data producers and consumers Drive technical decisions - evaluate trade-offs, choose the right tools, and define system boundaries Take ambiguous requirements and break them down into deliverable, well-engineered solutions Diagnose and resolve complex production issues - applying strong analytical and systems thinking Improve engineering practices: testing, CI/CD, observability, and documentation

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Join a software engineering team at the forefront of agentic AI and quantitative finance, focused on building reliable, scalable systems that transform how complex software and research workflows are developed, automated, and maintained. This team develops AI-enabled platforms, intelligent workflows, and engineering systems that apply emerging AI capabilities to real-world quantitative investment problems. You will design, build, and productionize solutions for AI-first quant investment processes.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are building AI-powered applications that help WorldQuant employees access information, synthesize knowledge, and support strategic decision-making. As an AI Software Developer, you will build and evolve these products end-to-end as part of a small team. Given a feature or problem area, you will help turn an initial need into a well-defined solution: clarify requirements, shape the user experience, design and implement the system, test and deploy it, and evaluate whether it is delivering value in practice. This is a hands-on engineering role with meaningful product ownership. You will work closely with internal users, incorporate feedback into the product, and contribute to feature prioritization and roadmap discussions. You will work on advanced AI capabilities, including agentic and deep-research workflows. You will help ensure these capabilities are useful, trustworthy, scalable, and practical for real-world use.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are looking for an exceptionally strong software engineer to join our Technology organization at WorldQuant. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow — from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice. Design and build data pipelines and the data layer. Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale. Implement and enhance quant-related software systems for data, research, portfolio construction, and trading. Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions. Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation. Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows. Use AI coding assistants and agentic developer tools to ship higher-quality software faster.

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within a results-oriented, agile organization. This role offers the rare combination of intellectual challenge and direct business impact. You'll tackle complex problems without obvious solutions, taking ownership of our entire modeling ecosystem—from feature engineering and deep learning architecture design to training dynamics and execution strategy. Your innovations will directly influence how we operate in markets globally, making a tangible difference in a field that demands constant evolution, creative problem-solving, and first-principles thinking. A sense of curiosity, strong technical skillset, and collaborative mentality make you a good fit for this position, regardless of what industry you come from. Investigate, evaluate, and prototype innovative algorithmic solutions using novel machine learning and deep learning techniques. Reinforcement learning experience is a bonus Results oriented mindset with a focus on developing deep learning models that directly impact P&L Implement sophisticated ML approaches for forecasting, feature engineering, and optimization challenges Conduct empirical ML research across multiple problem domains, rapidly prototyping and iterating novel architectures in Python/PyTorch/TensorFlow to solve challenging market problems Apply logical and mathematical reasoning to translate cutting-edge research methods between application areas. Adapt techniques from your area of expertise to achieve breakthrough results in the financial markets Partner with quantitative traders, researchers, and developers across teams to transform market insights into actionable data features and predictive models

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The MetaTech team is the engine behind the evolution of WorldQuant's proprietary research platform — empowering Researchers and Portfolio Managers to create, deploy, and lead template trading strategies at scale. MetaTech owns both foundational infrastructure and the researcher-facing features that expand what is possible within the platform. The team responds rapidly to emerging user needs while driving long-term platform modernization, spanning simulation engine upgrades, orchestration services, caching infrastructure, and the enablement of entirely new classes of strategies. As a Software Engineering Lead in MetaTech, you will be responsible for the technical direction of a platform that sits at the intersection of quantitative research and large-scale distributed systems. You will need deep fluency in both worlds: the ability to engage credibly with Researchers and PMs about their workflows and goals, and the technical depth to architect, deliver, and modernize the systems that power them. You will lead the team's roadmap across multiple workstreams — from expanding the range of supported strategy types to infrastructure modernization — and lead a team of engineers to implement it. Drive the MetaTech technical roadmap, balancing researcher-facing feature delivery with foundational infrastructure investment Lead architectural design and hands-on development across the platform, including simulation orchestration, caching, monitoring, and strategy lifecycle management Engage directly with Researchers and Portfolio Managers to understand their needs and translate them into well-scoped technical solutions Drive infrastructure modernization efforts, including simulation engine migrations, distributed caching, and platform observability Partner with cross-functional stakeholders across Research, Platform, and Operations to ensure reliable, scalable delivery Identify opportunities to…

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking an exceptional individual to be a key contributor to the maturation phase of several essential software systems currently in firmwide use. These systems are an important part of the research and production trading pipelines. Your mission will be to relentlessly improve their performance, scalability, reliability and survivability while continuing to develop features. Key technologies for the products include: Java (and to a lesser extent Python) Distributed systems Kafka PostgreSQL BigQuery

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Staff Software Engineer on the Data Platform team within Platform, you'll define and lead the technical strategy for Coinbase's data infrastructure, spanning ingestion, transformation, warehousing, streaming, and serving systems. This is a foundational role at the intersection of distributed systems, data engineering, and AI-readiness, reporting to the Senior Director of Engineering. You'll set architectural direction, drive multi-quarter roadmaps, and transition the organization from managed-service dependency toward engineering-built, platform-grade infrastructure that powers everything from fraud detection to modern multi-agent AI architectures. Own the technical strategy and architecture for Data Platform, setting direction across data ingestion, transformation, warehousing, streaming, and serving systems while driving engineering-led cost reduction at the infrastructure layer. Architect data infrastructure to natively support AI and ML workloads, ensuring pipelines, data lake systems, and compute can power ML training, feature stores, real-time inference, and multi-agent AI architectures at scale. Drive the evolution to near-real-time data availability, enabling downstream teams across Coinbase to act on fresher data for fraud detection, financial reporting, and analytics. Build alignment and secure commitment from senior leadership and cross-functional partners across product, infrastructure, analytics, ML, privacy, security, and compliance on technical priorities and tradeoffs. Serve as the primary technical voice for Data Platform in org-wide forums including OKR planning, architecture reviews, and long-term infrastructure strategy, while elevating senior engineering talent.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are looking for an exceptionally strong software engineer to join our Technology organization at WorldQuant. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow — from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice. Design and build data pipelines and the data layer. Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale. Implement and enhance quant-related software systems for data, research, portfolio construction, and trading. Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions. Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation. Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows. Use AI coding assistants and agentic developer tools to ship higher-quality software faster.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Staff Software Engineer on the Staking Platform team within the Platform group, you'll serve as Coinbase's definitive Solana staking technical authority, owning strategy across validator operations, staking integrations, and protocol evolution. Coinbase operates one of the largest Solana staking operations in the world, managing approximately 9.25% of all staked SOL. You'll combine deep Solana protocol mastery with hands-on engineering execution and external ecosystem influence to shape Coinbase's Solana staking trajectory. Own Coinbase's multi-year technical strategy for Solana staking across validator performance, protocol participation, and product integration, connecting engineering decisions to yield optimization, cost efficiency, and customer growth. Lead the engineering effort to achieve industry-leading APY through validator optimization, including vote accuracy, block production, MEV strategies, commission tuning, and stake distribution tooling. Serve as Coinbase's foremost authority on the Solana runtime, consensus mechanism, staking economics, and validator client landscape (Agave, Firedancer), evaluating protocol upgrades (e.g., SIMD proposals) and proactively positioning Coinbase for changes before they land. Partner with Retail and Institutional Staking product and engineering teams to architect scalable staking integrations across Coinbase's product surface, while advising on non-staking Solana initiatives requiring deep protocol knowledge. Represent Coinbase in the Solana ecosystem by maintaining relationships with the Solana Foundation, core development teams, and major validators, contributing to protocol governance, and speaking at conferences. Build production infrastructure for validator operations, monitoring, automation, and reliability while mentoring IC4-IC5 engineers on Solana-specific domain expertise.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: As a Software Engineer Intern at WorldQuant, you will join a team building high‑performance, mission‑critical systems that power our business. We seek entrepreneurial, motivated candidates who have a passion for technology and aspire to have an impact. You may work on applications that support our investment and trading processes, or on the core infrastructure and platforms that enable large‑scale data processing, distributed computation, and automation across the firm. The work requires a solid understanding of how computers operate at a low level and the ability to turn that knowledge into robust, practical solutions. You’ll contribute to our next‑generation technology stack, helping to drive future growth and set a high bar for technical excellence in the industry.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are looking for an exceptionally talented software engineer intern to join our team. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. You will be working with Quants very closely to develop, enhance, and support cutting-edge tools and systems that drive data decision making. The role provides a unique opportunity to gain exposure to full lifecycle of quant finance.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Staff Software Engineer, Frontend on the Advanced Trading team within the Consumer & Business group, you'll lead the front-end technical strategy for Coinbase Advanced, our trading platform for experienced traders. You'll own the performance, reliability, and scalability of our web and mobile trading clients, driving low-latency interfaces that serve traders across multiple instrument types. This is a high-impact role at the intersection of crypto, trading infrastructure, and consumer product, where your technical leadership will shape both the platform and the engineering team building it. Own the front-end technical roadmap for Coinbase Advanced, defining architecture decisions that enable a reliable, scalable trading platform across web and mobile Drive measurable performance improvements across rendering, network efficiency, and state management to deliver a low-latency trading experience Lead complex, multi-quarter technical initiatives end-to-end, setting and enforcing high standards for code quality, system design, and engineering rigor Strengthen the engineering team through hands-on mentorship of senior engineers, elevating technical decision-making and fostering growth across the subteam Partner with Product and Engineering leadership to translate business priorities into actionable technical plans and ship high-impact features Shape front-end engineering practices and patterns that scale with a growing team, establishing conventions that accelerate development velocity

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are building AI-powered applications that help WorldQuant employees access information, synthesize knowledge, and support strategic decision-making. As an AI Software Developer, you will build and evolve these products end-to-end as part of a small team. Given a feature or problem area, you will help turn an initial need into a well-defined solution: clarify requirements, shape the user experience, design and implement the system, test and deploy it, and evaluate whether it is delivering value in practice. This is a hands-on engineering role with meaningful product ownership. You will work closely with internal users, incorporate feedback into the product, and contribute to feature prioritization and roadmap discussions. You will work on advanced AI capabilities, including agentic and deep-research workflows. You will help ensure these capabilities are useful, trustworthy, scalable, and practical for real-world use.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking an exceptional candidate to join the firm as a Quantitative Developer. The right candidate will be able to use their development and practical thinking skills to slice through complicated challenges to find the most clear and effective solutions. Quant Developers will design, code and implement proprietary systems and tools to help bring research ideas to life, and have a real business impact. You will collaborate with Quant Researchers, data scientists, mathematicians and computer scientists to gather, analyze and spec out requirements, develop and test code, and manage deliverables. A successful candidate will have a track record of solving problems, be comfortable thinking outside the box, and bring cross-disciplinary solutions into play. What You’ll Bring: Background in Computer Science, Engineering, or related discipline Strong computer science fundamentals - algorithms, design patterns, OOP, threading, multiprocessing, etc. - Data Structure and Algorithms are the most important fundamentals in need, etc. Clean and Concise coding style Demonstrate mastery of any programming language. Python is best, or C++ is great, others are fine Experience working in Linux environments is a huge plus Experience building distributed or data intensive systems is a big plus Demonstrated problem solving abilities, insight, and judgment as well as a strong attention to detail Strong communication skills; ability to…

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Staff Software Engineer on the Core Automation team within Platform, you'll architect and build the Agentic AI systems that are reimagining how Coinbase delivers customer support and manages compliance at scale. This team is focused on automating high-volume operational processes with AI, then building the primitives and orchestration platform that let every domain at Coinbase leverage those capabilities. You'll own the technical vision for production AI systems that directly improve customer experience, strengthen compliance posture, and drive outsized efficiency gains. Own the design and implementation of Agentic AI systems powering Coinbase's customer support and compliance automation Architect a reusable platform of primitives, orchestration tools, and interfaces that enable other teams to adopt Agentic AI for their domains Drive cross-functional alignment with product, compliance, and operations stakeholders to translate business needs into scalable technical solutions Lead technical strategy for getting LLM-based applications from prototype to production, including grounding, hallucination reduction, and reliability at scale Mentor engineers across the team on system design, coding standards, and AI/ML best practices

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking exceptional C++ developers to join our front office development team to further enhance and build our next generation trading platforms. Write low latency, high throughput C++ code Implement mission critical trading infrastructure Work with portfolio managers to implement new trading systems Adapt existing systems to our next generation trading platform

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are looking for an exceptionally strong software engineer to join our Technology organization at WorldQuant. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow — from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice. Design and build data pipelines and the data layer. Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale. Implement and enhance quant-related software systems for data, research, portfolio construction, and trading. Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions. Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation. Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows. Use AI coding assistants and agentic developer tools to ship higher-quality software faster.

Partner with researchers to release high-quality production code Integrate AI into written content creation, internal client service, and team operations Develop generic frameworks to build flow datasets across equities, credit, and macro Troubleshoot and resolve production issues

Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution Monitor, analyze and improve live trading P&L Collaborate with analysts and strategists to improve PM-facing content

A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional to develop and trade systematic macro strategies, with a focus on market microstructure. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business. Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets, with a focus on market microstructure signals Perform feature engineering with order book tick data at intraday to daily horizons Perform feature combination using various modeling techniques ranging from linear to machine learning models Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation Help drive the growth of the investment process and research capabilities of the team Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets Assist in building, maintenance, and continual improvement of production and trading environments

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

SummaryWe are seeking a highly motivated and detail-oriented Trader/Quant Analyst with a strong background in trading and data analysis to join our investment team. The ideal candidate will have at least 3 years of experience in convertible securities (or equity/FX/rates derivatives), relative value trading strategies, and quant data analysis. The role will combine active trading and risk management and quantitative analysis to identify and execute profitable opportunities in the convertible space. Identify relative value opportunities between convertible bonds, the underlying equity, and credit derivatives. Execute trades in convertible securities, related equities, and hedges in alignment with investment theses and risk parameters. Manage existing positions proactively, assessing changes in valuation, liquidity, and market sentiment. Conduct in-depth quant data analysis on the convertible bond universe, including historical pricing and valuation. Model and evaluate convertible securities across multiple scenarios, analyzing risks related to credit, interest rates, volatility, and equity sensitivity. Build front-office tools to analyze convert universe data for idea generation, trade optimization, and risk management. Coordinate with the portfolio manager and risk team to size positions appropriately and adhere to pre-defined risk limits. Track and analyze P&L drivers on a daily basis and provide attribution reports. Hedge exposures dynamically using equity, credit, and derivative instruments. Work closely with other analysts, traders, and portfolio managers across strategies to share insights and generate synergies. Maintain strong relationships with sell-side counterparties and market participants to source information and enhance trade execution.

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Build end-to-end user-facing features using Golang, React, and cloud technologies, delivering AI-first compliance tooling that improves agent productivity and KYC process accuracy. Lead assessment, selection, and implementation of third-party tools and vendor integrations into the compliance agent experience platform. Drive cross-functional delivery of complex technical solutions in collaboration with product, design, security, data, and peer engineering teams. Architect platform improvements that build upon existing development practices and technical domains, delivering reusable capabilities that benefit multiple teams across the organization. Own reliability for Tier-1 compliance systems by anticipating potential issues before they reach production and adapting your approach proactively to work within constraints. Mentor engineers in full-stack design techniques, coding best practices, testing, release and deployment processes, documentation, and observability (metrics, logging, tracing).

3+ years of experience in the financial services industry, working in a quantitative capacity Perform daily cash management forecasting, optimization, and account transfers Recommend and implement strategies to improve cash management efficiency Communicate treasury strategies, exposures, and recommendations to managers, traders, and risk teams to ensure firm-wide alignment Develop and support treasury policies, procedures, and controls Champion best practices in treasury management Identify, track, and analyze treasury KPIs to improve performance Educate stakeholders across the firm Contribute to automating processes

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. The team is focused on systematic equity trading. It is established, yet still pre-trade, offering an exciting opportunity to join at an early stage and be involved in a broad range of development areas. The team members come from a mixture of quant analyst and development backgrounds, using the combination of skills to achieve a common goal. All team members are based in the London office five days a week to maximize communication and interaction. Role and Responsibilities:An ideal growth role to suit a developer looking for additional responsibilities and independence. Responsibilities may include: • Building components for all aspects of live trading and research environments.• Driving automation and robustness of our processes.• Developing robust data checking and handling procedures.• Monitoring and troubleshooting any issues that should arise.• Shared responsibility for timely and correct operation of trading systems. Requirements: • Bachelor’s degree or equivalent in computer science or other STEM discipline• 2+ years commercial experience with Python and its data science libraries on Linux.• Pragmatic balance between attention to detail and delivery focus.• Ability to work with ambiguous requirements.• Self-driven, owning problems while knowing when to seek advice.• Knowledge of finance and trading systems a plus.• Experience with a systems programming language (e.g. C++, Rust) a plus. • Commercial use of cloud compute and containers a plus. • Strong analytical skills and command of statistics a plus. • Be in the office five days a week. • Commitment to the highest ethical standards.

A CAREER WITH POINT72’S PORTFOLIO CONSTRUCTION & ANALYTICS TEAM Point72 is seeking an entry-level Quantitative Portfolio Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the Chief Investment Officer (CIO). PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams.

Virtu is an industry-leading financial technology firm that operates both proprietary trading and client-facing businesses in the global financial marketplace. Our cutting edge, proprietary technology is core to everything we do. We trade in over 35 countries, across 235 financial exchanges and over 25% of retail order flow in the US. is serviced by Virtu. Our team is a dedicated group of traders, quants and developers that are inspired by the unique and exciting challenges we solve every day. Our culture combines the creativity of a fast paced start up, with the stability of a disciplined financial services firm. We are a flat organization and encourage our people to innovate and lean on their teammates for support and collaboration. We have fun, work hard and strive to be virtuous in all we do.

This internship is based in London and is available throughout the year. Please indicate your preferred start month in the application questions. The minimum length of the Internship must be 12 weeks. Squarepoint sits at the intersection of finance, mathematics, and technology. From petabyte-scale data platforms to ultra-low-latency trading systems, we build the infrastructure that powers systematic investing across every major asset class and market worldwide. We are looking for highly motivated students with a deep passion for technology and software development to join our Software Developer Internship program. As a participant in the internship program, you will work closely with experienced engineers to develop and deliver custom software solutions that solve complex problems. During your time with us, you will work in collaboration with your mentors on a project that has a visible impact on the business. We have internship opportunities across various teams including; Data Engineering, Risk, Market Data, Quant Development, Frontend and many more... A fast-paced training program to give you an introduction to all technical facets of software development in the algorithmic trading industry The software you build and the projects you work on will be leveraged to support active and ongoing trading with the markets Independent programming projects in Python or C++ Intern social events to let you network with other Squarepoint employees and explore the city where you’re spending your internship

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our team is looking for an experienced Full Stack Developer to work on the firm's internal alerting and notification systems. You'll own the frontend for these applications and will have considerable input into future features and architectural direction. Build Great Interfaces & APIs: Design, develop, and deliver clean, responsive user interfaces and intuitive APIs for our internal users. Strengthen Reliability & Observability: Improve our CI/CD pipelines, monitoring, and observability systems to keep our services robust in production. Create Developer Tooling: Build tools for the team and the broader firm that streamline our development pipeline, including tooling for use with agentic coding systems. Write Clear Documentation: Ensure our systems are well-documented so they're easy to understand, adopt, and maintain. Maintain High Code Quality: Drive engineering standards through thoughtful code reviews, well-tested implementations, and clean, maintainable architecture.

Quant Library Developer, Macro Technology. A Career with Point72’s TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. This exceptional individual will be a member of a small team of data and software developers who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. Building processes and technology tools to ingest, tag and clean datasets. Assisting Data Scientists with data processing, enrichment, and product development. Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++. Monitoring and enhancing the automated data collection and cleansing infrastructure. Researching new technologies for improved data management and efficient retrieval.

Building components for both live trading and simulation Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards Maintaining and updating the platform, ensuring its stability, robustness, and security Developing robust data checking and storage procedures Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements

A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power. We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required. Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application. Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests. Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. Develop backend application services and APIs. Integrate systems with AWS and external cloud services. Optimize backend components for speed and scalability. Implement and manage caching, queuing and background processing. Participate in code reviews, technical design discussions and architecture decisions. Be an active member of an agile engineering team who is continuously looking to improve team performance. Work with leading cloud technologies (such as AWS, GCP). Work with leading open-source technologies (such as MySQL, PostgreSQL, ELK stack, Sentry, Redis, Git, etc.). Leverage modern AI tools and practices to increase developer productivity. Participate in periodic on-call duties.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are looking for a Quant Developer Intern to join the Book Platform and Operations Team team. This is an ideal opportunity for a technically strong student who enjoys solving real problems and wants hands-on exposure to systems that directly support portfolio management operations. You will work alongside expert developers and portfolio managers, contributing to systems, interfaces, and tools used in day-to-day portfolio management workflows. We value clear thinking, strong fundamentals, and a proactive attitude — we don't expect prior industry experience, but we do expect you to think rigorously and pick things up fast. Strong performers will be considered for a full-time Quant Developer role upon graduation. Assist in the design, development, and maintenance of systems, interfaces, and tools that support portfolio management workflows, under the guidance of senior developers Work with developers and portfolio managers to understand requirements for well-scoped tasks and features Help identify, investigate, and resolve issues in existing tools and infrastructure Assist with monitoring production systems and support incident response as part of a team Participate in code reviews, write tests, and contribute to technical documentation Learn and apply modern development tools and practices, including how the team uses LLM-assisted workflows

Using NLP to construct features from varied datasets Formulating research hypotheses to derive alpha Building and testing the performance of trading signals based on NLP and financial features Launching identified signals into production

Formulate and build a power dispatch model using Python and a commercial solver Collaborate with the PM to optimize model inputs and architecture Ensure the model replicates grid operations from historical conditions Suggest model improvements to decrease forecast error and improve scenario handling Regularly run the model and maintain up-to-date outputs in an internal database Communicate results and limitations to the wider investment team, including publishing results to team dashboards

Perform rigorous applied research to discover systematic anomalies in equities markets Present actionable trading ideas and enhance existing strategies Identify short term opportunities in the high frequency/intraday space Participate in end-to-end development (i.e. data orchestration, alpha idea generation, simulation, strategy implementation, and performance evaluation) Contribute towards the team’s research tooling and its efficiency Help establish a collaborative mindset and shared ownership

Develop macro-focused systematic trading strategies in liquid secondary markets. Conduct research to identify data-driven signals and market inefficiencies. Collaborate with team members on research and development initiatives.

Improve data ETL pipeline and build tools to analyze new data efficiently. Build technologies to bolster research & trading efficiency. Expand to new markets and asset classes. Manage day-to-day operations in a fast-paced environment.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are looking for an exceptionally strong software engineer to join our Technology organization at WorldQuant. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow — from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice. Design and build data pipelines and the data layer. Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale. Implement and enhance quant-related software systems for data, research, portfolio construction, and trading. Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions. Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation. Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows. Use AI coding assistants and agentic developer tools to ship higher-quality software faster.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing on Quant Macro signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets, specialized in futures contracts or Macro asset classes – Commodities, FX, Interest Rates, or Equity Indices. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

Perform rigorous and innovative research to discover systematic anomalies in the equities market End-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation Identify and evaluate new datasets for stock return prediction Maintain and improve portfolio trading in a production environment Contribute to the analysis framework for scalable research

Our employees are our greatest asset. We have spent years building a team of talented, dedicated technologists, data-driven traders, and expert leaders with an emphasis on our core pillars: People, Process, Trading Edge, and Technology. Simplex is an in-office organization, helping to foster a collaborative and communicative culture.

Designing, implementing, and maintaining research and production pipeline—including data processing, model building, back-testing, and live monitoring toolkits. Performance optimization in both research and production environments. Troubleshooting and resolving production issues.

Finding alphas in global equity markets by applying rigorous statistical analysis on technical data or alternative data sets. Performing hypotheses testing, feature design, and backtesting to improve on alpha ideas. Maintaining and improving the research pipeline, including alpha generation, portfolio construction, back-testing, and monetization. Maintaining and improving portfolio trading in production environments.

Experience Required: Entry-level (PhD Program) or Experienced (Postdoc, Faculty, Scientific Lab) Education: PhD in Math, Science, Engineering and other relevant disciplines The PDT team - a quantitative investment manager - is hiring new or recent PhD graduates and experienced researchers (postdoctoral fellows, faculty, scientific lab, finance industry) to create and improve proprietary trading models and strategies while working closely with a deep bench of senior researchers. We have a successful record of hiring, challenging, and retaining talented researchers from diverse academic backgrounds. Individuals interested in conducting innovative research with real-world impact seem to enjoy and excel at the types of problems we like to solve. PDT Researchers work in small, nimble teams where merit and contribution, not seniority, drive the discussion. We strive to foster an intellectually challenging environment that encourages collaboration and innovative ideas. In our research-driven approach to the financial markets, our Chief Scientist oversees the group-wide research agenda, ensuring team members work on the most critical and interesting problems, with a focus on research rigor and standards. This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week. Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time Contribute to the long-term success of our research-driven algorithmic trading business Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people. Solid mathematical and analytical ability; exceptional problem-solving and modeling ability Research intuition Experience in programming (Python, R, Matlab, C++) Excellent communication and collaborative white board skills Meticulous and detail-oriented, and innately driven to understand issues deeply Experience with/interested in working with large data sets Self-motivated and highly-productive, with a strong sense of ownership and urgency Able to work collaboratively and productively with others Enjoy solving complex, difficult, real-world problems Entrepreneurial and creative Finance knowledge is not required or expected We take research seriously. Beyond your resume, we want to understand your research history and the papers most relevant to evaluating your candidacy. We strongly encourage you to answer all application questions and allow us to understand you as a researcher and determine where you would be the strongest fit in our team. The…

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Join a software engineering team at the forefront of agentic AI and quantitative finance, focused on building reliable, scalable systems that transform how complex software and research workflows are developed, automated, and maintained. This team develops AI-enabled platforms, intelligent workflows, and engineering systems that apply emerging AI capabilities to real-world quantitative investment problems. You will design, build, and productionize solutions for AI-first quant investment processes.

We're looking to hire a programmer-who-writes, or a writer-who-codes.

This internship is based in Singapore and is available in any season. Please indicate your preferred season in the application questions. The minimum length of the Internship must be 12 weeks. Squarepoint sits at the intersection of finance, mathematics, and technology. From petabyte-scale data platforms to ultra-low-latency trading systems, we build the infrastructure that powers systematic investing across every major asset class and market worldwide. We are looking for highly motivated students with a deep passion for technology and software development to join our Software Developer Internship program. As a participant in the internship program, you will work closely with experienced engineers to develop and deliver custom software solutions that solve complex problems. During your time with us, you will work in collaboration with your mentors on a project that has a visible impact on the business. We have internship opportunities across various teams including; Data Engineering, Risk, Market Data, Quant Development, Frontend and many more... A fast-paced training program to give you an introduction to all technical facets of software development in the algorithmic trading industry The software you build and the projects you work on will be leveraged to support active and ongoing trading with the markets Independent programming projects in Python or C++ Intern social events to let you network with other Squarepoint employees and explore the city where you’re spending your internship

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

Researchers are responsible for independently conducting quantitative finance research with a focus on statistical and predictive models. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework

Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework

Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon the latest academic research

Conduct original quantitative alpha signal research Follow, digest and analyze the latest academic research Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis Build analytical tools to supplement our shared research framework

Conduct original quantitative alpha signal research Manage all aspects of the research process, including data analysis, alpha signal discovery, backtesting, trading idea generation, alpha signal/portfolio analysis and the management of production code Evaluate new datasets for alpha potential Follow, digest, analyze and improve upon the latest academic research

Provide research assistance to full-time researchers Assist with data collection and preliminary analysis Follow, digest, analyze and improve upon the latest academic research

Provide research assistance to full-time researchers Assist with data collection and preliminary analysis Follow, digest, analyze and improve upon the latest academic research

Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior.

A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional in the intraday to mid frequency systematic macro space. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business. Develop systematic trading models across global futures (equity indices, commodities and fixed income) and/or FX markets Alpha idea generation, backtesting, and implementation Evaluate new datasets for alpha potential Contribute to and enhance portfolio optimization, allocation and risk management processes Help drive the growth of the investment process and research capabilities of the team Assist in building, maintenance, and continual improvement of production and trading environments

Point72 Asset Management is seeking a Quantitative Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the CIO. PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams. The ideal candidate is a highly analytical and creative problem-solver who can conduct independent research, work effectively as part of a team, and effectively summarize and communicate findings.

Please send CVs to kepl-talent@cubistsystematic.com with “2027 KEPL Application” in the subject line. Conduct quantitative research to support the team’s investment process. Build technologies that bolster research & trading productivity. Develop, maintain, and improve the production trading capacity. Expand the system to new markets and asset classes.

Design and develop software for strategy research and trading. Build and improve tools for data acquisition, processing, and visualization. Work on the execution/order management system, live dashboards, and P&L reconciliation tools. Manage the team’s CI/CD pipeline, job running infrastructure, and other tech components. Ensure robustness and efficiency of the team’s systems. Be ready to troubleshoot and correct any issues. Collaborate with the portfolio manager, quant researchers, and traders.

Point72 is seeking a Quantitative Developer to join its Portfolio Construction and Analysis (PCA) team within the CIO office. Architect, build, refine, and increase automation and robustness of the research infrastructure, including data access, risk modeling, and backtesting components Collaborate with quant researchers to implement framework for automating and presenting analytics, reports, and monitors Collaborate with firm-wide technology teams to deliver analytics and tools to users across the firm

Quantitative Researchers are responsible for independently conducting quantitative financial research with a focus on statistical and predictive models.

Perform rigorous and innovative research to discover systematic anomalies in global macro markets (futures, FX, etc.) Perform feature engineering with price-volume, order book and alternative data at intraday to daily horizons in mid frequency trading space Perform feature combination and monetization using various modeling techniques Manage the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation Maintain and improve portfolio trading in a production environment Contribute to the analysis framework for scalable research

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power. We are looking for exceptional students to join us as quantitative researcher interns for Fall 2026, Spring 2027 and Summer 2027. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading. Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies Identify features and relationships useful for the predictive modeling of market dynamics

We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology. Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave. Successful researchers manage all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation. Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem; how to collect, parse, and clean the data; how to incorporate the data into innovative functional models; how to construct and develop features from raw data; and how to estimate effectiveness of such features. Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of research & development of financial models through use of machine learning. Based on experience from working with existing industry-standard models and algorithms, researchers will learn how to construct their own models in order to solve complex financial problems and enhance data prediction capabilities within the financial services industry.

Develop systematic trading models across FX, commodities, fixed income, and equity markets Alpha idea generation, backtesting, and implementation Assist in building, maintenance, and continual improvement of production and trading environments Evaluate new datasets for alpha potential Improve existing strategies and portfolio optimization Execution monitoring Be a core contributor to growing the investment process and research infrastructure of the team

Independently conduct quantitative research, adopting a rigorous approach and using statistical and structural models Contribute to all aspects of the research and production process, including implementation of fitting tools; data organization; generation of alphas, risk and TC models; P&L attribution, etc. Proactively search for and prioritize new ideas and datasets for alpha potential Contribute to continuous improvement of the investment process and infrastructure in collaboration with the portfolio managers, developers and traders on the team

Research and develop in-house trading strategies, used by both discretionary and quantitative traders. Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithm and identify market anomalies. Develop and maintain predictive models to optimize trade execution and minimize transaction costs, utilizing both linear and non-linear techniques. Collaborate with cross-functional teams, including portfolio managers and researchers, to design and implement solutions for the trading strategies. Stay current and report on changes in market microstructure.

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading. Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies Identify features and relationships useful for the predictive modeling of market dynamics

We are seeking a small number of highly talented interns to assist in the development, optimization, and monitoring of our production trading platform and research infrastructure. Interns will work on small, highly collaborative teams.

Please send CVs to KEPL-talent@cubistsystematic.com with “2027 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist.

We are looking for Quantitative Researchers to help us build models, strategies and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach. At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. We work with petabytes of data and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production. We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and machine learning techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: WorldQuant is seeking exceptional C++ developers to join our front office development team to further enhance and build our next generation trading platforms. Write low latency, high throughput C++ code Implement mission critical trading infrastructure Work with portfolio managers to implement new trading systems Adapt existing systems to our next generation trading platform

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide. We're looking for an eager, detail-oriented professional to join as a Trader supporting our Fixed Income Trading desk. The candidate will be responsible for risk management, strategy configuration and implementation and primary market trading. The traders work closely with operations, compliance, brokers and custodians to mitigate risk and generate revenue for the firm. Our traders design, operate, and improve high‐performance algorithmic trading strategies deployed on both electronic trading venues and RFQ trading platforms around the world. Our ETF traders also build and manage relationships with issuers and other trading partners. This team has the opportunity to work closely with software engineers to enhance and further develop the firm’s trading strategies. Virtu Financial is a well-established market maker in the ETF space in Europe. We are looking to significantly expand our current product offering to cover all underlying asset classes.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

We’re looking for smart and curious individuals from industry and academia to join our growing team and drive our ML work. On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges— large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. Researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production. We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

We’re looking for smart and curious individuals from industry and academia to join our growing team and drive our ML work. On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges— large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. Researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production. We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Have a strong understanding of the investment research process to build computer-based models that seek to predict the movements of the global financial markets.根据对投资研究流程的深入理解，创建寻求预测全球金融市场走势的基于计算机的模型 Analyze and apply various types of data to the financial markets through rigorous exploration and unconstrained thinking大胆猜想，严谨探索，不断寻求新方式分析多种类型的数据并将其应用于金融市场

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. WorldQuant is seeking exceptional individuals to join the firm as a Quantitative Research Intern. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Have a strong understanding of the investment research process to build computer-based models that seek to predict the movements of the global financial markets.根据对投资研究流程的深入理解，创建寻求预测全球金融市场走势的基于计算机的模型 Analyze and apply various types of data to the financial markets through rigorous exploration and unconstrained thinking大胆猜想，严谨探索，不断寻求新方式分析多种类型的数据并将其应用于金融市场

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Building algorithmic, computer-driven models; Conducting research on academic quantitative finance literature; Exploring new data; Applying an alignment of innovative methods in Applied Mathematics, Computer Science and Financial Economics.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering problem solver who is motivated by unsolved challenges.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. Building algorithmic, computer-driven models; Conducting research on academic quantitative finance literature; Exploring new data; Applying a synergy of innovative methods in Applied Mathematics, Computer Science and Financial Economics; Staying updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are looking for an exceptionally strong software engineer to join our Technology organization at WorldQuant. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow — from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice. Design and build data pipelines and the data layer. Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale. Implement and enhance quant-related software systems for data, research, portfolio construction, and trading. Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions. Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation. Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows. Use AI coding assistants and agentic developer tools to ship higher-quality software faster.

Solve low-latency trading problems and optimize performance-critical code. Collaborate with fellow trading engineers to improve system performance and scalability. Contribute across the tech stack: application development, network optimization, and platform tuning. Partner with hardware and networking teams to drive low-latency performance gains. Leverage data to drive decision-making and uncover optimization opportunities. Design and implement performance-critical, low-latency solutions for real-time trading. Continuously enhance our performance architecture to support evolving strategies. Build new platform features and refine existing systems to meet the demands of high-speed trading.

Exceptional analytical skills, particularly in terms of identifying opportunities when analyzing large data sets Extensive mathematical and statistical modeling skills A passion for solving problems and a drive for results Experience as a quantitative analyst/trader in systematic equities / statistical arbitrage strategies Candidates with quantitative development experience or will be considered

We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. We work with petabytes of data and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production. We don’t believe in “one-size-fits-all” modeling solutions; we are open to and excited about applying all different types of statistical and machine learning techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

We’re looking for a software engineer who is passionate about front-end development, user-interface design, and typed functional programming. You would take part in the design and implementation of our next-generation of browser-based tools for operating our trading infrastructure. We’re building for expert users, which means we want to maintain a high UX bar, and at the same time create tools that are flexible and powerful enough to satisfy the needs of deeply engaged users. Beyond working on the individual tools, we want someone who can find opportunities to create libraries and abstractions that capture common interaction idioms, and to sharpen our development practices and firm-wide approach to UI development.

We’re looking for a software engineer who is passionate about front-end development, user-interface design, and typed functional programming. You would take part in the design and implementation of our next-generation of browser-based tools for operating our trading infrastructure. We’re building for expert users, which means we want to maintain a high UX bar, and at the same time create tools that are flexible and powerful enough to satisfy the needs of deeply engaged users. Beyond working on the individual tools, we want someone who can find opportunities to create libraries and abstractions that capture common interaction idioms, and to sharpen our development practices and firm-wide approach to UI development.

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide Design, build, and maintain our proprietary, low-latency trading systems, and infrastructures. Produce powerful trading tools which leverage all aspects of our high-performance system Improve the scalability, performance, of our trading infrastructure. Understand the future needs of the business and design technical solutions to meet these demands Ability to handle a wide variety of projects, from frontend facing projects to backend infrastructure, each in different programming languages

At PDT, technology is a core driver of our business. Engineers tackle complex technical and quantitative challenges that advance our research methodology and investment approach. We hire exceptionally talented engineers and give them room to grow in a dynamic, supportive environment. The people who thrive here value breadth, continuous learning, and long-term investment in their craft. They find energy in growth that comes from rotating through different teams across the organization. This kind of mobility is central to how we work, allowing engineers to build deep, varied skills and make meaningful impact over time. Our hiring reflects this collaborative culture. We assess every candidate against one talent bar firmwide, then match engineers to the teams that best set them up for success. As a Software Engineer at PDT, you'll build and maintain the technology that powers our quantitative trading business from the data that drives our models to the systems that execute every trade, and everything in between. This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week To learn more about the teams hiring, please see a brief description below. We encourage you to apply to learn more about the different opportunities at PDT.

We're always hiring software engineers for all of our offices. Technology is at the core of how we approach our work, and engineers are intimately involved in every area of the business. We are big believers in functional programming and use OCaml, a statically typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning. We also believe in the value of open source software, using it in our daily work and releasing over a million lines of our own code as open source.

Virtu is an industry-leading financial technology firm that operates both proprietary trading and client-facing businesses in the global financial marketplace. Our cutting edge, proprietary technology is core to everything we do. We trade in over 35 countries, across 235 financial exchanges and over 25% of retail order flow in the US. is serviced by Virtu. Our team is a dedicated group of traders, quants and developers that are inspired by the unique and exciting challenges we solve every day. Our culture combines the creativity of a fast paced start up, with the stability of a disciplined financial services firm. We are a flat organization and encourage our people to innovate and lean on their teammates for support and collaboration. We have fun, work hard and strive to be virtuous in all we do.

Our trading is based on our own proprietary models and on busy days we engage in over a million trades. Traders work in teams to seek out and trade on pricing inefficiencies, develop models, manage risk, investigate new products, and push into new business areas. Experienced Traders teach and oversee the less-experienced. New Traders serve as assistants while they learn the ropes, getting increasing responsibility as they demonstrate their ability to handle it. Technology is at the core of how we approach trading, and we consider ourselves as much a technology company as a trading firm. We use OCaml, a statically-typed functional programming language, as our primary development language, and have the largest team of OCaml Engineers in any industrial setting.

We are looking for Quantitative Researchers to help us build models, strategies and systems that price and trade financial instruments. You'll apply your experience in experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets, while collaborating with colleagues who will challenge and refine your approach. At Jane Street, our researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. We work with petabytes of data and a growing GPU cluster containing tens of thousands of high-end GPUs. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production. We don’t believe in “one-size-fits-all” modelling solutions; we are open to and excited about applying all different types of statistical and machine learning techniques, from linear models to deep learning, depending on what best fits a given problem. The most successful researchers will be driven by a curiosity for how their contributions fit into the larger picture of our trading operations, and how to adapt their findings into actionable strategies.

Our trading is based on our own proprietary models and on busy days we engage in over a million trades. Traders work in teams to seek out and trade on pricing inefficiencies, develop models, manage risk, investigate new products, and push into new business areas. Experienced traders teach and oversee the less-experienced. New traders serve as assistants while they learn the ropes, getting increasing responsibility as they demonstrate their ability to handle it. Technology is at the core of how we approach trading, and we consider ourselves as much a technology company as a trading firm. We use OCaml, a statically-typed functional programming language, as our primary development language, and have the largest team of OCaml engineers in any industrial setting.

We're always hiring software engineers for all of our offices. Technology is at the core of how we approach our work, and engineers are intimately involved in every area of the business. We are big believers in functional programming and use OCaml, a statically typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning. We also believe in the value of open source software, using it in our daily work and releasing over a million lines of our own code as open source.

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide Our Quantitative Traders are responsible for the design, operation, and improvement of high‐performance algorithmic trading strategies deployed on electronic trading venues around the world. During an intensive period of mentorship and training in trade floor operations, Quantitative Traders learn the intricacies of each step of the trade flow process, eventually integrating into strategy deployment and operation. This team also has the opportunity to work closely with software engineers to enhance and further develop the firm’s trading strategies. Quantitative Traders not only become experts in trading technology and its interaction with the market, but they also play a crucial role in the evolution of market micro structure and the driving forces behind liquidity. This is a great opportunity for the right candidate to kick start a career in the financial technology space.

We are looking for an exceptional candidate to join our UI development team. Our team is a talented group of versatile software engineers who are collaborating with our entire Virtu Team to build the next generation of scalable web-based UIs and trading tools for our fast paced firm. The role is primarily focused on the frontend stack, but there could be opportunities to work on some backend as well. Members of this team collaborate closely with traders and other developers to gather and understand needs, and implement real-time trading, visualization, analysis and reporting tools. Ideal candidates will have a passion and talent for designing great, intuitive user interfaces as well as expansive experience around web technologies and Javascript frameworks.

We're always hiring software engineers for all of our offices. Technology is at the core of how we approach our work, and engineers are intimately involved in every area of the business. We are big believers in functional programming and use OCaml, a statically typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning. We also believe in the value of open source software, using it in our daily work and releasing over a million lines of our own code as open source.

We’re looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. Trading poses unusual challenges—large models and nonstationary datasets in a competitive multi-agent environment—that force us to search for novel techniques. At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and work together to train models, architect systems, and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production. We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems, or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences, and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

Our trading is based on our own proprietary models and on busy days we engage in over a million trades. Traders work in teams to seek out and trade on pricing inefficiencies, develop models, manage risk, investigate new products, and push into new business areas. Experienced Traders teach and oversee the less-experienced. New Traders serve as assistants while they learn the ropes, getting increasing responsibility as they demonstrate their ability to handle it. Technology is at the core of how we approach trading, and we consider ourselves as much a technology company as a trading firm. We use OCaml, a statically-typed functional programming language, as our primary development language, and have the largest team of OCaml Engineers in any industrial setting.

We're always hiring software engineers for all of our offices. Technology is at the core of how we approach our work, and engineers are intimately involved in every area of the business. We are big believers in functional programming and use OCaml, a statically typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning. We also believe in the value of open source software, using it in our daily work and releasing over a million lines of our own code as open source.

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide Our Quantitative Traders are responsible for the design, operation, and improvement of high‐performance algorithmic trading strategies deployed on electronic trading venues around the world. During an intensive period of mentorship and training in trade floor operations, Quantitative Traders learn the intricacies of each step of the trade flow process, eventually integrating into strategy deployment and operation. This team also has the opportunity to work closely with software engineers to enhance and further develop the firm’s trading strategies. Quantitative Traders not only become experts in trading technology and its interaction with the market, but they also play a crucial role in the evolution of market micro structure and the driving forces behind liquidity. This is a great opportunity for the right candidate to kick start a career in the financial technology space.

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide Our Traders are responsible for the design, operation, and improvement of high‐performance algorithmic trading strategies deployed on electronic trading venues around the world. During an intensive period of mentor-ship and training in trade floor operations, Traders learn the intricacies of each step of the trade flow process, eventually integrating into strategy deployment and operation. This team also has the opportunity to work closely with software engineers to enhance and further develop the firm’s trading strategies. Traders not only become experts in trading technology and its interaction with the market, but they also play a crucial role in the evolution of market micro structure and the driving forces behind liquidity. This is a great opportunity for the right candidate to kick start a career in the financial technology space.

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Register your interest for our 2027 Trading Sneak Peek Weeks! Thank you for your interest in Akuna's Trading internship! We are excited to share that we will be hosting multiple Trading Sneak Peek Weeks throughout 2027, rather than a traditional summer internship. These one-week micro-internships are designed to provide an accelerated, hands-on introduction to the tools, skills, and knowledge our trading teams use to drive success every day. With this new format, we are excited to welcome even more trading-focused interns to our office in 2027! By submitting this application, you’ll be added to our list of interested candidates and will be notified as soon as the roles goes live.

Join us for our networking event! Details: May 7, 14:00 - 17:00Location will be disclosed to the students that receive an invite Curious about trading, technology and opportunities at IMC? Come visit our brand new Aarhus office for a tour, short introduction to what we do and a chance to meet the team. Stay for drinks, networking and free pizza! Please note that we will only select 30 students for the event

Flow Traders is seeking driven, competitive, and intellectually curious individuals to join our growing Trading team in New York. This is a unique opportunity to begin your career at a proprietary trading firm, where entrepreneurial thinking, innovation, and collaboration are central to how we operate. You will begin with an intensive three-month training program in Amsterdam, where you will build a foundation in Flow Traders’ core business, the financial products we trade, market dynamics, pricing strategies, and proprietary trading systems. Through quantitative coursework, trading simulations, and instruction from Senior Traders and Quantitative Researchers, you will develop the skills needed to make informed, split-second decisions in dynamic financial markets. Following the program, you will join a trading desk in New York, where you will progressively take on greater responsibility, monitor markets, identify opportunities, and contribute directly to your desk’s performance.

The Data Development group manages the lifecycle of data used for trading, back-testing, and research at Squarepoint. We work with quantitative researchers and tech teams to integrate, process, and serve data from a huge variety of sources into our data infrastructure. We are currently seeking new data developers to join our Data Platform team, where teamwork and collaboration are encouraged, excellence is rewarded and diversity of thought and creative solutions are valued. Our emphasis is on a culture of learning, development, and growth. Data Platform is a team of Python developers working closely with technology developers and quantitative developers to design, build, test, and maintain libraries, services and frameworks used by data pipelines and investment teams across the entire Squarepoint organization. Data Platform is able to deploy infrastructure, frameworks and tools to the rest of the Squarepoint business at speed, with stability, observability, access control and performance at top of mind. Services and libraries are resilient and highly maintainable. Data models are carefully designed in close collaboration with our domain experts for efficient application development, predictable behavior and ease of debugging. Data Platform developers also support developers in adopting and efficiently using the tools and products developed, and increase the team's quality of life, throughput, and code quality. Acquire a deep understanding of the interface and tooling requirements of developers to deliver the right solutions to them. Design, implement, test, optimize and troubleshoot Python libraries, frameworks, and services. Design and add features to React frontends when appropriate. Collaborate with technologists to ensure that our data applications and data platform meet evolving business requirements. Work closely with data operations and data pipeline developers to improve development velocity and reduce our technical debt; increase the team's quality of life. Write and review technical documents, such as requirements docs for new features, design docs to propose new platform solutions, and production support runbooks. Lend a hand in support operations - during normal working hours - to help troubleshoot higher-order production issues when first line support personnel require deeper investigation.

As a Reliability Software Engineer on the Data team, you will be central to the infrastructure and operations that keep Squarepoint's data ecosystem running at scale. Our mandate is broad by design: we own the pipelines, platforms, and automation that our technology and investment teams depend on. The team operates at the intersection of engineering and operations. We build the observability tooling that surfaces problems before they become incidents, the job orchestration platform that runs production workloads at scale, the self-serve systems that let teams move faster without creating risk, and the production pipelines that onboard new data from various vendors. When incidents arise, we lead the response: root cause, remediation, and the follow-through that prevents recurrence. You will work closely with quant researchers, traders, and engineers across our organization, as well as the external vendors who supply our data, building strong working relationships while developing deep expertise in the systems that underpin their work. We value ownership, sharp analytical thinking, and engineers who take pride in leaving things better than they found them. If you thrive in an environment where your work has direct, visible impact on the reliability of critical systems and where no two days look the same, then this role is for you. Observability: Keep Data Development infrastructure healthy, building the health monitoring platform with configurable monitors and custom checks that surfaces problems before they become incidents System Automation: Build and improve automation that streamlines operational tasks and workflows, including the job orchestration platform that runs production workloads at scale Self-Serve Request Automation: Build the Jira-driven platform that executes operational requests end to end, letting teams move faster without creating risk Data Pipelines: Onboard new datasets from various vendors, and build the pipelines and frameworks that make that work scalable Reliability Engineering: Own deployments, support users, plan for capacity and performance, and lead incident resolution end to end

Jump Trading is committed to world class research. We empower exceptional talents in Mathematics, Physics and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. As a Software Engineer, you'll work on a team of technologists building and improving the platforms and services that support the business. You'll partner with engineers and cross-functional stakeholders to develop new tools, systems, and infrastructure. You'll collaborate with teammates to improve the scalability, reliability, and performance of production systems. By strengthening the core systems used across the organization, you'll have an outsized impact on engineering productivity as the company continues to grow.

The Market Data team provides market data services to users across the firm. We work closely with exchanges, vendors, and stakeholders to implement live market data connectivity for trading and historical market data for research. As part of the newly established Market Data Integration team, we are looking for experienced project managers to own delivery of market data projects, including technical scoping, identification of dependencies, and complete project lifecycle management. Manage delivery of strategic initiatives within the market data space, owning projects from start to finish Work closely with developers and stakeholders on technical scoping of new projects Write and review technical documentation such as exchange specifications, migration plans, and production runbooks Own migrations from legacy platforms Provide regular progress reports to stakeholders, clearly identifying and resolving blockers Engage with users to provide knowledge and serve as the Subject Matter Expert on market data products Manage communication with external vendors, exchanges, and providers to push forward the interests of the firm Identify efficiency gaps on the team and work diligently to resolve them Own and update the Jira team kanban boards

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity. Research and implement strategies within the firm’s automated trading framework. Analyze large data sets using advanced statistical methods to identify trading opportunities. Develop a strong understanding of market structure of various exchanges and asset classes.

The Core Data team models and owns the structured datasets that connect Squarepoint to the outside world, effectively representing the firm's view of reality. We partner closely with portfolio managers and investment researchers to define robust data models and build reliable data pipelines that transform and consolidate diverse sources into high-quality, centrally managed datasets. These datasets are delivered through a service-oriented platform designed for scalability, reliability, and performance. Our technology supports every stage of the investment lifecycle, from research and backtesting to trading and portfolio management. We are looking for talented software engineers with strong Python and/or kdb+/q experience to join our team. You will be part of a collaborative, learning-oriented environment where excellence is recognized, diverse perspectives are valued, and innovative solutions are encouraged. Acquire a deep understanding of the data requirements provided by investment research teams and deliver solutions that create business impact Design, implement, test, optimize and troubleshoot data pipelines and services using Python and q Work with a range of database technologies, including PostgreSQL and kdb+ Analyze, onboard, and curate vendor datasets, becoming a subject matter expert in third-party data Take a leading role in production support and operational excellence during business hours

The Machine Learning Frameworks team exists for two reasons: making the research iteration loop as fast and frictionless as possible, and making production run as fast as the hardware allows. Both matter, and figuring out how to do both at once is most of what makes the work fun. Concretely, we build optimisers, code generators, runtime libraries, and the orchestration layer that runs computation across heterogeneous hardware. The stack spans C++, Rust, Python, MLIR, and CUDA. You don't need to know all of these things but should want to work at this level of the stack. The work is broad. Some of it is high-level, looking at the whole compute pipeline, orchestrating the system and creating a cohesive product. Some of it is in the details, getting into hardware behaviour, dissecting compute graphs, squeezing the last bit of performance out of the hot path. Our job is managing the whole stack, top to bottom.

The Live Trading, Analysis & Tooling engineering team exists to make sure our traders and researchers have all the tools they need to run and analyse their trading at scale. We tackle both ends of scaling - we help traders maximise how many strategies they can trade, and help them analyse specific moments to find new opportunities. Our team sits close to the people who use what we build, with short iteration loops, fast feedback, and a lot of conversation. The work is broad. We build tools that help traders orchestrate strategies across our full product range. We build infrastructure that makes large amounts of data quickly explorable. We model risk, analyse trades, and figure out where new opportunities might be. Our toolkit is just as broad. Python, Java, React, SQL, any tool that solves the issue at hand.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Build, maintain, and improve internal tools, data workflows, and operational web applications. Develop Python-based services, automation scripts, data processing jobs, and internal utilities. Work with business users and engineers to understand requirements, clarify ambiguity, and deliver practical software solutions. Design and maintain workflows for data ingestion, transformation, validation, reconciliation, and reporting. Write and debug SQL queries used for reporting, investigation, and operational analysis. Build and iterate on AI-enabled internal tools for the telco team, including an internal AI chatbot/assistant for operational support, billing investigation, documentation discovery, and workflow guidance. Develop AI agent workflows and integrations with internal APIs, databases, and documentation sources using patterns such as Model Context Protocol (MCP), function/tool calling, retrieval-augmented generation (RAG), and secure permission-aware access. Maintain backend APIs and frontend interfaces for internal applications. Debug issues across application code, databases, APIs, logs, configuration, and deployment environments. Improve reliability, observability, test coverage, documentation, and maintainability of existing systems. Use Git-based development workflows, code reviews, CI/CD pipelines, and deployment processes. Communicate progress, assumptions, risks, and blockers clearly and early.

IMC is building a new Energy Trading business in Aarhus, Denmark, the hub for power and gas trading in Europe. Backed by one of the world’s most successful trading firms, this new venture combines the energy and autonomy of a startup with the global reach, stability, and expertise of IMC’s 30+ years in trading. We are building a strong, independent Aarhus-based team with local leadership, supported by IMC’s world-class technology, quantitative research, and trading infrastructure. To achieve our ambitious hiring goals, we are seeking strong Software Engineers to join the team and play a pivotal role in helping us grow this new business. Build, as part of a team, a full technology stack that supports power and gas trading, including exchange connectivity, trading systems, trading strategies, data analysis, and pricing. We are looking for strong developers that specialize in back-end, algorithms, trading systems, execution systems or other relevant domains Maintain and improve the tech stack in collaboration with trading Train new joiners

IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies. As a Graduate Software Engineer, you‘ll be joining our core engineering team. You will contribute to our proprietary low-latency trading system, acquire market and trading data, implement ETL processes and collaborate with traders and researchers on improving the trading results. Design, develop, maintain, and improve the in-house data infrastructure powering our market and trading data platforms, covering both batch and real-time streaming pipelines. Build and extend scalable data pipelines to support additional exchanges, trading venues, and new business domains. Work closely with software engineers, quantitative researchers, and traders to deliver reliable, high-performance data solutions for research and production trading. Contribute throughout the software development lifecycle, from design and implementation to testing, deployment, monitoring, and continuous improvement. Help improve the performance, reliability, scalability, and observability of our distributed data processing systems.

IMC is seeking a Lead Alpha Researcher to join our Systematic Equities team in London. This is a senior hands-on research and leadership role focused on developing and scaling alpha generation, predictive modelling, and machine learning capabilities across our global equities business. You will lead a key part of the European alpha research team, managing researchers and driving a portfolio of high-impact alpha initiatives from idea generation through production deployment. You will work as part of a closely coordinated global alpha initiative, helping to set priorities, develop researchers, elevate research quality, and scale high-impact ideas across regions. Working closely with traders, researchers, and developers globally, you will drive the discovery, validation, and deployment of new sources of alpha that improve production trading performance. Our Systematic Equities business benefits from significant advantages in market access, execution quality, global reach, and technology. The continued growth of machine learning and data-driven research creates opportunities to unlock these advantages and tackle some of the most impactful problems in systematic trading. IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks, and offices. Take a leading role in research, development, and deployment of alpha signals and predictive models, contributing to a globally coordinated alpha effort across equities markets. Manage, grow, and develop a core part of the European alpha research team. Help define and prioritise the alpha research agenda. Deliver measurable improvements in production trading performance through robust research, disciplined validation, and close collaboration with trading teams. Establish and uphold best practices for research methodology, validation, reproducibility, and deployment across the alpha research team. Foster a research culture built on scientific rigour, intellectual curiosity, open idea sharing, and continuous improvement. Drive the development of scalable research tools, datasets, and modelling frameworks that increase team productivity.

We are seeking a Software Engineer to help build the technology and analytical frameworks used to understand, measure, and optimize risk across the firm's trading businesses. Working directly with Risk Managers and software engineers globally, you will develop systems that help the firm analyze exposures, scenarios, capital, liquidity, and other risk factors across all asset classes. You will have significant autonomy to improve existing platforms, build new tools, and pursue opportunities that make the risk organization more effective. This role is ideal for someone who enjoys combining software engineering, data science, and financial markets to solve complex, high-impact problems. Design and build analytical tools that help Risk Managers understand portfolio exposures, stress scenarios, capital usage, and emerging risks Build high-end dashboards and visualization tools for stakeholders globally. Work with large data sets, data pipelines that support storage, retrieval, and analysis across the risk organization. Partner directly with Risk Managers to identify opportunities and rapidly translate ideas into production systems while collaborating within the firm's global risk development organization. Collaborate with engineering, trading, quantitative research, operations, and data teams across the firm Take ownership of projects from concept through production deployment

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs. What You'll Do:In this role, you will design, architect, and build high‑performance real‑time streaming systems that power trader‑facing GUI applications. These systems ingest, process, and distribute massive volumes of market data with extremely low latency and high reliability, forming the building blocks for the team to create high‑performance GUIs. You will work closely with trading, infrastructure, and support teams to ensure that real‑time tick‑to‑trade data is delivered accurately and efficiently from collocated trading systems to latency‑sensitive applications. As a senior member of the team, you will help set technical direction, make architectural decisions, and mentor other engineers while continuously raising the bar for performance and maintainability. Skills You'll Need:· 5+ years of professional experience building production software in performance‑critical environments· Strong experience with C++ and Rust in low‑latency, high‑throughput systems· Proven ability to architect and implement real‑time data pipelines and streaming systems· Experience working with distributed, high‑volume data such as market data or equivalent real‑time streaming domains· Strong understanding of concurrency, memory management, and lock‑free or low‑contention designs· Experience building systems for collocated or latency‑sensitive environments· Experience operating, supporting, and debugging systems under real‑time production load· Passion for writing reliable, readable, and testable code, and providing thoughtful code review feedback· Eager to take ownership, guide technical direction, and mentor other engineers Bonus Points:· Involvement in the Rust developer community· Experience with network programming (TCP/UDP, multicast, or similar)· Familiarity with Linux internals and performance tuning

Job description:Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Jump Trading has a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs. What You'll Do:In this role, you will build the next generation of high‐performance, data‐dense GUI applications that deliver real‐time market data to traders. These applications are the primary interface between users and our trading systems, with a strong focus on tick‐to‐screen latency, performance, and visual clarity. You will focus on low‐level rendering, graphics pipelines, and efficient data delivery to the browser, leveraging modern web technologies to push the limits of what is possible in real‐time GUIs. As a senior engineer, you will help shape technical direction, mentor teammates, and establish best practices for building world‐class GUI systems. Skills You'll Need:· 5+ years of experience building high‐performance GUI applications· Strong experience with React and modern web application architecture· Deep understanding of low‐level rendering pipelines and rendering techniques· Hands‐on experience with WebAssembly (WASM), Web APIs, WebGPU, WebGL, or equivalent graphics technologies· Experience building real‐time, data‐intensive web applications· Solid full‐stack fundamentals and the ability to work across frontend and backend boundaries· Strong focus on performance, memory usage, and responsiveness under heavy data loads· Ability to write clean, testable code and provide constructive code reviews· Desire to take technical ownership, influence architecture, and mentor other engineers Bonus Points:· Experience optimizing rendering pipelines for large, frequently updating datasets· Familiarity with browser internals and performance profiling tools· Experience with Rust or C++· Background in trading, finance, or other real‐time data‐driven domains

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. Our internship program is geared for current students who want to work alongside our talented software engineers creating impactful solutions to further the firm's market initiatives. We are a smaller firm, which means you'll get to know the people you're working with and they'll get to know you. Responsibilities include supporting the development of C++ based trading applications and tools. You will be given hands-on projects that contribute to the firm's daily activities, giving you real exposure to how our business runs, not just observation. In this role, you'll have the opportunity to learn more about creative programming and the tools needed to support electronic trading. If you're looking to make an immediate contribution this summer and get a firsthand look at building out our business, feel free to apply today! What you will get to do Gain exposure to how trading works, from the underlying theory to the systems and tools we build around it Regular sessions with senior engineers covering the fundamentals of the systems and tools we use Get direct feedback from the engineers you're working alongside, learning in real time Work directly with engineers, traders, and other teams on projects that matter to the firm day to day

Jump Trading is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems. We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world. At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump. You will start by completing a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as Trading / Market Mechanics, Statistics, R, Python, C++, Machine Learning, and our research process. You will later be coached to successfully apply those skills to build predictive models, leveraging one of the largest supercomputers in the world, and devise automated trading strategies to test in the markets against world-class competition. May include other duties as assigned or needed.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. The quant research internship is an intensive 10-week program focused on enhancing your quantitative and programming skills, as well as letting you experience what it’s like to be a full-time quant researcher at Jump. At Jump our people can contribute to trading teams in the following roles, or a blend of all three: quantitative researcher / data scientist, algorithmic trader, and software developer – so our internship program is designed to train you in a variety of areas. Topics include Machine Learning, trading / market mechanics, C++, statistics, and our research process for signal generation. Applying lessons from training, you will first work with fellow interns to develop your own predictive models and automated trading strategies for live trading. Then you’ll have the opportunity to rotate and work with several trading teams. During each rotation you’ll work on a project with the trading team while being mentored by experienced quant researchers, traders, and developers. Other duties as assigned or needed.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems. We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world. At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump. As an M1/M2 research intern, you’ll first undertake an intensive research project, during which time you’ll work closely with a mentor from one of our trading teams. Possible research topics are varied and can be tailored to suit specific interests or academic requirements. Then, you enter into a hands-on training program focused on enhancing your knowledge of trading, programming, and quantitative analysis. The training consists of in-house courses and trading simulation developed and delivered by our own experienced researchers, traders, and developers. Topics include Machine Learning, trading / market mechanics, C++, statistics, and our research process for signal generation Finally, you’ll have the opportunity to rotate and work with several trading teams. During each rotation you’ll work on a project with the trading team while being mentored by experienced quant researchers, traders, and developers. Other duties as assigned or needed.

Jump Trading is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems. At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant trader, quant researcher, and quant developer. Quant Traders will get training in all of these areas, with a focus in trading and financial markets. You will also participate in mock trading sessions, poker training, and other modules designed to improve probabilistic thinking, risk-taking, and trader mindset. You will then work alongside our trading teams to devise trading strategies across global markets. Other duties as assigned or needed.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. The quant trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it’s like to be a full-time quant trader at Jump. At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant trader, quant researcher, and quant developer. During our internship you will get training in all of these areas, with a focus in trading and financial markets. Topics include trading strategies and intuition, market mechanics, statistics, and our research process for signal generation. You will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant traders, researchers, and developers. You will also participate in mock trading sessions, poker training, and other modules designed to improve probabilistic thinking, risk-taking, and trader mindset. Other duties as assigned or needed.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Jump Trading has a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, sophisticated front-end technologies, data science and research, to deliver the infrastructure and tools that drive our trading and business needs. NOTE - We accept students needing placements or otherwise extended internships. We also allow internships to take place during a non-summer term (for example - the winter, spring, or fall months) if preferable when it makes sense.

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. Our traders work in teams to seek out and profitably trade mispriced securities. The junior traders job responsibilities will include disciplined decision making, risk management, derivative pricing, and researching new opportunities. If you are looking to be a value added member to our team and have an immediate contribution in building out our business, feel free to apply today!

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. Our traders work in teams to seek out and profitably trade mispriced securities. The junior traders' job responsibilities will include disciplined decision making, risk management, derivative pricing, and researching new opportunities. If you are looking to be a value added member to our team and have an immediate contribution in building out our business, feel free to apply today!

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. Our traders work in teams to seek out and profitably trade mispriced securities. The junior traders job responsibilities will include disciplined decision making, risk management, derivative pricing, and researching new opportunities. If you are looking to be a value added member to our team and have an immediate contribution in building out our business, feel free to apply today!

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. Our development program is geared for college graduates who want to work alongside our talented software engineers creating impactful solutions to further the firm’s market initiatives. Responsibilities include developing and supporting C++ based trading applications and tools. You will be given immediate responsibilities which will significantly contribute to the firm’s daily activities. In this role, you’ll have the opportunity to learn more about creative programming and the tools needed to support electronic trading. If you are looking to have an immediate contribution and would like to be part of building out our business, feel free to apply today!

Flow Traders is looking for Senior C++ Software Engineers to join our growing team in New York or Chicago. Software Engineers at Flow Traders provide us with our competitive edge, equipping Researchers and Traders with the information and capabilities that they need to make sound business decisions. C++ plays a critical role in our event-driven trading systems, which are designed to reliably handle vast amounts of data at ultra-low latencies. As a C++ Engineer, you will build systems used to analyze and trade tens of thousands of products across hundreds of global trading venues every day. Working closely with Technologists, Quantitative Researchers, and Traders, you’ll guide the development of our in-house trading technology and optimize it to achieve market-leading performance and reliability. Our proprietary trading platform includes everything from venue connectivity (feed handlers and ordering gateways) to trading engines to shared platforms that enable us to work quickly and efficiently - we are proud of our open and collaborative culture, so you’ll have plenty of opportunity to find what fits you best.Teamwork is one of our most important firm values, and end users are never more than a short walk away, guaranteeing short feedback loops and immediate insight into the value that your code provides. To foster collaboration and innovation, we maintain shared libraries, encourage code re-use, and continuously evolve our views on application architecture.

Flow Traders is looking for Senior C++ Software Engineers to join our growing team in New York or Chicago. Software Engineers at Flow Traders provide us with our competitive edge, equipping Researchers and Traders with the information and capabilities that they need to make sound business decisions. C++ plays a critical role in our event-driven trading systems, which are designed to reliably handle vast amounts of data at ultra-low latencies. As a C++ Engineer, you will build systems used to analyze and trade tens of thousands of products across hundreds of global trading venues every day. Working closely with Technologists, Quantitative Researchers, and Traders, you’ll guide the development of our in-house trading technology and optimize it to achieve market-leading performance and reliability. Our proprietary trading platform includes everything from venue connectivity (feed handlers and ordering gateways) to trading engines to shared platforms that enable us to work quickly and efficiently - we are proud of our open and collaborative culture, so you’ll have plenty of opportunity to find what fits you best.Teamwork is one of our most important firm values, and end users are never more than a short walk away, guaranteeing short feedback loops and immediate insight into the value that your code provides. To foster collaboration and innovation, we maintain shared libraries, encourage code re-use, and continuously evolve our views on application architecture.

Flow Traders is looking for a Senior C++ Software Engineer to lead the next-generation architecture of the market data and execution platforms that power our fully systematic trading. We don't treat market data as plumbing - for us it's a source of alpha, where feed handling, order book construction, and a deep understanding of exchange microstructure are themselves a competitive edge. We're looking for a senior individual contributor who has lived this philosophy in a proprietary or systematic trading environment and can squeeze every nanosecond out of the path from wire to strategy. As a senior individual contributor, you'll help set the technical direction for the Core Platform that underpins quantitative research, pricing, strategy development, and execution across hundreds of venues - and drive its global rollout across our Market Data, Quant Research, Pricing, and Strategies groups. You'll work in a tight, iterative loop with quants and technical traders, applying deep expertise in modern C++, OS internals, CPU and memory architecture, lock-free concurrency, and low-latency networking to push our systems toward state-of-the-art performance, robustness, and observability.

Flow Traders is looking for a Senior C++ Software Engineer to lead the next-generation architecture of the market data and execution platforms that power our fully systematic trading. We don't treat market data as plumbing - for us it's a source of alpha, where feed handling, order book construction, and a deep understanding of exchange microstructure are themselves a competitive edge. We're looking for a senior individual contributor who has lived this philosophy in a proprietary or systematic trading environment and can squeeze every nanosecond out of the path from wire to strategy. As a senior individual contributor, you'll help set the technical direction for the Core Platform that underpins quantitative research, pricing, strategy development, and execution across hundreds of venues - and drive its global rollout across our Market Data, Quant Research, Pricing, and Strategies groups. You'll work in a tight, iterative loop with quants and technical traders, applying deep expertise in modern C++, OS internals, CPU and memory architecture, lock-free concurrency, and low-latency networking to push our systems toward state-of-the-art performance, robustness, and observability.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. The PhD quant research internship is an intensive 10-week program designed to show you what it's like to do research at Jump: real problems, real data, real markets. The program runs in person during Summer 2027 in our Chicago and New York offices. The first two weeks are focused training covering our research process, machine learning, statistics, trading and market mechanics, Python, and the infrastructure you'll use all summer. From there, you'll be matched with a trading team based on your background and interests, and spend the remaining weeks working 1:1 with experienced researchers on a real-world project tied to live business needs. You'll learn the craft working alongside people who have spent years practicing it. Research at Jump spans every asset class and a full range of time horizons, from high frequency to strategies that hold for days and weeks. Teams work across the spectrum of methods, from hand-crafted signals and rigorous classical statistics to deep learning models in production. Your project will reflect your team's needs, but the craft is the same everywhere: form well-educated hypotheses, construct rigorous tests, interpret results in a statistically sound way, and when an idea fails, understand why before moving on. One excellent, fully understood result is worth more here than a dozen shallow ideas. And every result is tested where it counts: against the live market itself. The program is open to currently enrolled PhD students. The internship…

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. The quant trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it’s like to be a full-time quant trader at Jump. At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant trader, quant researcher, and quant developer. During our internship you will get training in all of these areas, with a focus in trading and financial markets. Topics include trading strategies and intuition, market mechanics, statistics, and our research process for signal generation. You will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant traders, researchers, and developers. You will also participate in mock trading sessions, poker training, and other modules designed to improve probabilistic thinking, risk-taking, and trader mindset. Other duties as assigned or needed.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Core Development is a global team of technologists who lean into the cutting edge of agentic development to architect, build and maintain our world-class trading platform From optimizing our core trading engine to building custom hardware, we leverage the latest agentic tools to deliver the infrastructure that drives our trading and business needs.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Jump Trading has a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, sophisticated front-end technologies, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.

As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded. Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments Collaborate closely with traders, researchers, and engineers to translate research into production trading systems

Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll begin with a week of engaging, classroom-based learning in the proprietary trading landscape, then gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact. Split between our Amsterdam headquarters and time at our London office, the program also gives you the chance to broaden your network across IMC's regions. Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on-desk training, while benefiting from professional development and networking opportunities. You'll receive comprehensive support from dedicated internship trainers and a one-on-one mentor to guide you in your work and professional development. We offer a highly competitive compensation package, including fully-furnished corporate accommodation and catered meals. High-performing interns may be considered for a full-time Graduate Researcher position upon graduation. Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Architect and optimize performant low-latency trading and high-throughput training systems Work extensively with traders and researchers Creating tools to analyze data for patterns Make market observations and conducting post-trade analysis Developing, augmenting, and calibrating exchange simulators Operate the team’s high-frequency trading strategies

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Designing, implementing, and deploying high-frequency trading algorithms Exploring trading ideas by analyzing market data and market microstructure for patterns Creating tools to analyze data for patterns Contributing to libraries of analytical computations to support market data analysis and trading Developing, augmenting, and calibrating exchange simulators Communicating with internal and external trade support, market centers, and other parties to handle real-time trading issues and improve understanding of specific markets Shaping the future of Tower through regular interviewing and infrequent campus recruiting trips

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Designing, implementing, and deploying high-frequency trading algorithms Exploring trading ideas by analyzing market data and market microstructure for patterns Creating tools to analyze data for patterns Contributing to libraries of analytical computations to support market data analysis and trading Developing, augmenting, and calibrating exchange simulators

As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded. Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments Collaborate closely with traders, researchers, and engineers to translate research into production trading systems

As a Quantitative Researcher at IMC, your work will directly impact our global trading strategies. You will leverage your superior analytical, mathematical, and computing skills to improve existing models and develop new ones. We will empower you to discover your unique niche and excel, taking on responsibility and ownership from the start. Quantitative Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded. Apply rigorous analytical and quantitative techniques to solve complex problems Build custom tools to explore new research ideas Design mathematical models based upon trading ideas Implement and deploy new models into production Maintain best practices to keep our systems logical and consistent

As a Quantitative Researcher at IMC, your work will directly impact our global trading strategies. You will leverage your superior analytical, mathematical, and computing skills to improve existing models and develop new ones. We will empower you to discover your unique niche and excel, taking on responsibility and ownership from the start. Quantitative Researchers work closely Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded. Apply rigorous analytical and quantitative techniques to solve complex problems Build custom tools to explore new research ideas Design mathematical models based upon trading ideas Implement and deploy new models into production Maintain best practices to keep our systems logical and consistent

IMC is looking for talented and passionate Quant Traders to play a critical role in trading a wide range of financial instruments in a fast-paced, dynamic environment. As a Quant Trader, you will be part of highly motivated team facing the daily challenge of managing the execution and risk of complex trading portfolios. In this role you will work closely with IMC’s researchers, developers and engineers in an environment that values problem solving, innovation, and teamwork. You will have the support of a mentor and the freedom to find your niche and excel. We have start dates in February and August 2027. Engage in immersive, practical training to quickly acquire the skills needed to be successful on a trading desk Develop, maintain, and improve trading strategies and algorithms Solve complex problems to make a positive impact on the business Find a competitive edge to drive results in the market while collaborating effectively with fellow IMC Traders

Having the best technology drives our business. As a Software Engineer at IMC, you will drive the development of our cutting-edge trading algorithms. You will be responsible for spotting new opportunities, solving problems and developing innovative technologies. Software development here is innovative, pragmatic and fun, even as complexity grows. Build and maintain our trading platform and software stack Bring our trading strategies and technology platform to the next level Collaborate with Traders, Quant Researchers and other Engineers both locally and globally Develop expertise within the entire software development lifecycle Learn new technologies and programming languages in a dynamic environment

Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10–12 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact. Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on desk training, while benefiting from professional development and networking opportunities. We offer a highly competitive compensation package, including travel and accommodation. High-performing interns may be considered for a full-time Graduate Researcher position upon graduation. Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate. Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics

Our 10-week internship is your chance to experience life as a Quant Researcher at IMC. You will work alongside your mentor to explore new research ideas and build custom analysis tools that may be deployed into production. Throughout the summer, there will be opportunities to enhance your knowledge of options theory, market making, algorithm complexity and trades analysis. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a full time Graduate Quant Researcher position at the end of the program. Where you go from here is up to you! Team up with Quant Researchers to work on real projects that have potential to impact our business Enhance your understanding of options theory through classroom-based instruction Develop your research skills with support and feedback from a dedicated mentor and intern lead Build valuable connections in an environment that recognizes and rewards problem solving, innovation and teamwork Engage in professional development sessions aimed at helping you envision your future at IMC Attend a full-schedule of events and social activities to get to know your cohort and current employees

Our 10-week internship is your chance to experience life as a Quant Researcher at IMC. You will work alongside your mentor to explore new research ideas and build custom analysis tools that may be deployed into production. Throughout the summer, there will be opportunities to enhance your knowledge of options theory, market making, algorithm complexity and trades analysis. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a full time Graduate Quant Researcher position at the end of the program. Where you go from here is up to you! Team up with Quant Researchers to work on real projects that have potential to impact our business Enhance your understanding of options theory through classroom-based instruction Develop your research skills with support and feedback from a dedicated mentor and intern lead Build valuable connections in an environment that recognizes and rewards problem solving, innovation and teamwork Engage in professional development sessions aimed at helping you envision your future at IMC Attend a full-schedule of events and social activities to get to know your cohort and current employees

Our 10-week trading internship is your chance to experience life as a trader at IMC through engaging and challenging training and project work. Throughout the summer, you will receive comprehensive support from dedicated trainers and a mentor to guide you in your work and professional development. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a full-time Graduate Trader position at the end of the program. Where you go from here is up to you! Participate in classroom-based training covering options theory, core principles of financial markets and trading simulations Team up with traders and technologists to work on real projects that have potential to impact our business Develop skills throughout the summer with support and feedback from a dedicated mentor and intern lead Build valuable connections in an environment that recognizes and rewards problem solving, innovation and teamwork Engage in professional development sessions aimed at helping you envision your future at IMC Attend a full schedule of events and social activities to get to know your cohort and current employees

Our 10-week internship is your chance to experience life as a Software Engineer at IMC. You’ll have the support you need to succeed: educational trainings and a mentor who will oversee your work and professional development. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a graduate position at the end of the program. Where you go from here is up to you! Work on meaningful and challenging projects that have the potential to impact our business Participate in classroom-based training covering an overview of financial markets, IMC technology and coding fundamentals Build valuable connections with traders and technologists in an environment that rewards problem solving, innovation and teamwork Engage in professional development sessions aimed at helping you envision your future at IMC Attend a full schedule of events and social activities throughout the summer to get to know your cohort and IMCers

IMC is one of the world’s leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing in frontier research that can shape the next generation of models, infrastructure and research capabilities. With access to world-class datasets, significant compute resources and a highly collaborative environment, IMC offers a unique opportunity to see cutting-edge research translated into real-world impact. We are seeking a Principal Research Scientist to help define and accelerate our long-term machine learning research agenda. Prior finance experience is not required. This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment. You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications. Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation. You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community. Shape the long-term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof-of-concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research direction. Help guide future investments in research tooling, infrastructure and compute capabilities. Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations.

As a Quantitative Developer, you will work on a core team of technologists that build and improve the platforms that drive the trading team. You will work closely with the quantitative researchers to create and improve research, trading infrastructure, improve the scalability of the production systems, maintaining the production trading environment, troubleshooting problems, and developing software to automate and improve deployment, configuration, validation. The team is looking for someone who will be passionate about development and demonstrates intellectual curiosity and an ability to solve difficult technical problems in a fast-paced and energetic environment. Full cycle development including researching and prod system, writing, testing & debugging code, deployment of finished code into the production environment and ensuring that all code is checked into the source code control system. Direct support of end users, trouble-shooting problems and upgrading applications Monitoring, troubleshooting, break/fix of production trading system Other duties as assigned or needed

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Core Development is a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, data science and research, to deliver the infrastructure and tools that drive our trading and business needs. They collaborate extensively with traders, quantitative researchers and technologists across the organization to solve difficult technical problems ranging from CPU architecture, operating systems, networking, and hardware. We are looking for an experienced Software Engineer with a strategic mindset who is passionate about development, demonstrates intellectual curiosity, and has extensive experience using technology to solve cross-functional business problems. Be part of a dynamic team developing and maintaining Jump's Algorithmic Trading Platforms. Create and optimize scalable, multi-tiered applications and infrastructure. Influence the strategic direction of Core Development and use technology to solve business problems in a fast-paced and energetic environment. Partner with engineering, networking, and trading teams across multiple regions to align technical priorities with business objectives. Other duties as assigned or needed.

Flow Traders is looking for Senior C++ Software Engineers to join our growing team in Amsterdam. Software Engineers at Flow Traders provide us with our competitive edge, equipping Researchers and Traders with the information and capabilities that they need to make sound business decisions. C++ plays a critical role in our event-driven trading systems, which are designed to reliably handle vast amounts of data at ultra-low latencies. As a C++ Engineer, you will build systems used to analyze and trade tens of thousands of products across hundreds of global trading venues every day. Working closely with Technologists, Quantitative Researchers, and Traders, you’ll guide the development of our in-house trading technology and optimize it to achieve market-leading performance and reliability. Our proprietary trading platform includes everything from venue connectivity (feed handlers and ordering gateways) to trading engines to shared platforms that enable us to work quickly and efficiently - we are proud of our open and collaborative culture, so you’ll have plenty of opportunity to find what fits you best. Teamwork is one of our most important firm values, and end users are never more than a short walk away, guaranteeing short feedback loops and immediate insight into the value that your code provides. To foster collaboration and innovation, we maintain shared libraries, encourage code re-use, and continuously evolve our views on application architecture.

Flow Traders is looking for a Senior C++ Software Engineer to lead the next-generation architecture of the market data and execution platforms that power our fully systematic trading. We don't treat market data as plumbing - for us it's a source of alpha, where feed handling, order book construction, and a deep understanding of exchange microstructure are themselves a competitive edge. We're looking for a senior individual contributor who has lived this philosophy in a proprietary or systematic trading environment and can squeeze every nanosecond out of the path from wire to strategy. As a senior individual contributor, you'll help set the technical direction for the Core Platform that underpins quantitative research, pricing, strategy development, and execution across hundreds of venues - and drive its global rollout across our Market Data, Quant Research, Pricing, and Strategies groups. You'll work in a tight, iterative loop with quants and technical traders, applying deep expertise in modern C++, OS internals, CPU and memory architecture, lock-free concurrency, and low-latency networking to push our systems toward state-of-the-art performance, robustness, and observability.

Flow Traders is looking for Senior C++ Software Engineers to join our growing team in Amsterdam. Software Engineers at Flow Traders provide us with our competitive edge, equipping Researchers and Traders with the information and capabilities that they need to make sound business decisions. C++ plays a critical role in our event-driven trading systems, which are designed to reliably handle vast amounts of data at ultra-low latencies. As a C++ Engineer, you will build systems used to analyze and trade tens of thousands of products across hundreds of global trading venues every day. Working closely with Technologists, Quantitative Researchers, and Traders, you’ll guide the development of our in-house trading technology and optimize it to achieve market-leading performance and reliability. Our proprietary trading platform includes everything from venue connectivity (feed handlers and ordering gateways) to trading engines to shared platforms that enable us to work quickly and efficiently - we are proud of our open and collaborative culture, so you’ll have plenty of opportunity to find what fits you best. Teamwork is one of our most important firm values, and end users are never more than a short walk away, guaranteeing short feedback loops and immediate insight into the value that your code provides. To foster collaboration and innovation, we maintain shared libraries, encourage code re-use, and continuously evolve our views on application architecture.

Schonfeld is seeking a highly qualified and talented technologist to join its Reference Data Technology team. The Reference Data Management team at Schonfeld focuses on building and supporting centralized golden source of reference and master data. The key areas supported surround Securities, Financial Calendars and Investment Professional related data domains such as Portfolio’s, Broker Accounts and Books. The team also supports a centralized framework used to standardize how the firm masters and distributes data. These core sources of data support many aspects of the business ranging from Trade Execution, Accounting, Compliance, Treasury, Risk and Operations.