Full-Time · Quantitative Research
Fixed Income Quantitative Researcher | Trading Team
Jump Trading · London · Posted Aug 14, 2026
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.
Requirements
- At least 1 year research or trading experience in fixed income electronic trading desk
- Good understanding of fixed income pricing models, yield curve shape and core economic drivers
- Demonstrable experience in developing successful algorithms that can be applied to one of the following products: government bond, interest rate swaps, fixed income futures or other liquid fixed income products
- Proven success of working with large data set
- Solid python along with development skills to support research efforts
- Good C++ skills is a plus
- Master or PhD in mathematics, statistics, operations research, physics, computer science, and financial engineering related subjects
- Desire to work within a collaborative, team-driven environment
- Reliable and predictable availability