Rates Quant Trader: Build & Optimize Systematic Swaps

Next Frontier Capital; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

J.P. Morgan in London seeks an Analyst or Associate for the Quantitative Trading & Research Rates group, focusing on the Interest Rate Swap market.

You will design, backtest and productionize quantitative models powering pricing, risk projection, hedging and execution, ensuring alignment with research findings and live behavior. You will build data infrastructure, run analyses on large historical datasets, calibrate strategies and expand tooling.

Qualifications

• Degree in computer science, mathematics, physics, engineering or another quantitative field.
• Evidence of owning software end to end (design, testing, deployment, live operation).
• Strong programming ability in OO languages (Java/C++) and Python for research.

Responsibilities

• Design, build and operate production components of our systematic swaps trading stack (pricing, risk projection, hedging and execution).
• Build the research and data infrastructure, including backtesting and simulation pipelines.
• Take models from prototype to production, tested and live with observed research behavior.
• Analyze trading data to identify patterns and revenue opportunities, enabling pricing/hedging improvements.
• Research, backtest and calibrate improvements to our quantitative models and trading strategies.
• Expand the team's shared libraries of modelling, analytics and automation tools.
• Support the live trading system day to day, improving monitoring and controls.

Skills

Quant degree

Java/C++

Python

End-to-end ownership

Probability & statistics

Attention to detail

Markets interest

Education

Quantitative degree

Job description

J.P. Morgan in London seeks an Analyst or Associate for the Quantitative Trading & Research Rates group, focusing on the Interest Rate Swap market.

You will design, backtest and productionize quantitative models powering pricing, risk projection, hedging and execution, ensuring alignment with research findings and live behavior. You will build data infrastructure, run analyses on large historical datasets, calibrate strategies and expand tooling.