AI Data Engineer

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.

Requirements

• Programming: Strong proficiency in Python and SQL (experience with an additional language such as Java, Scala, or Go is a plus)
• Pipeline Development: Building and orchestrating production data pipelines and ETL/ELT workflows (e.g., Apache Airflow, Prefect, Dagster)
• Data Modeling & Storage: Designing schemas and working with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Elasticsearch)
• Data Analysis & Modeling: Analyzing data and building models with statistical/ML libraries (e.g., XGBoost, PyTorch, TensorFlow), including feature engineering, training, and evaluation
• Cloud Platforms: Working with a major cloud provider (AWS, GCP, or Azure) and core storage and compute services
• AI/ML Data: Preparing and serving data for ML/AI systems, including vector databases (e.g., Pinecone, Weaviate, Qdrant) and embedding pipelines
• Bachelor's, Master's, or PhD in Computer Science, Data Science, or a related field
• Strong problem-solving skills and attention to detail
• Excellent communication skills with ability to translate technical concepts for non-technical stakeholders
• Experience working in fast-paced, collaborative environments
• Self-motivated with ability to manage multiple priorities
• Who we are Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.
• Our Culture At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.
• The base pay for this role is expected to be between $225k and $275k. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

Apply on Schonfeld's site