Fixed Income Quantitative Researcher | Trading Team

About Jump Trading Group

Jump Trading Group is committed to world-class research. We empower exceptional talent in Mathematics, Physics, and Computer Science to explore scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture values constant innovation, fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together 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 the world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Team and Role Overview

Our trading teams include traders, quantitative researchers, and engineers who work together to examine global markets and understand the complexities of various traded products and exchanges. They use statistical analysis and data mining skills to produce research results that support forecasts and the development of profitable predictive trading models.

What You Will Do

• Develop and refine quantitative models to predict and trade government bonds, interest rate swaps, and other liquid fixed income products.
• Analyze market data and yield curves to identify investment opportunities.
• Collaborate with counterparties to implement and deploy efficient algorithms into production.
• Ensure accurate risk assessment and real-time decision-making in a fully systematic trading environment.
• Perform other duties as assigned or needed.

Skills You Will Need

• At least 1 year of research or trading experience in fixed income electronic trading.
• Strong understanding of fixed income pricing models, yield curve shapes, and core economic drivers.
• Demonstrable experience developing successful algorithms applicable to government bonds, interest rate swaps, fixed income futures, or other liquid fixed income products.
• Proven success working with large data sets.
• Solid Python skills and development ability to support research efforts.
• Good C++ skills are a plus.
• Master’s or PhD in mathematics, statistics, operations research, physics, computer science, or financial engineering (or related subjects).
• Desire to work in a collaborative, team-driven environment.
• Reliable and predictable availability.

Benefits

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Commuter Benefits