Quantitative Trading & Research - Rates Quantitative Trader - Analyst or Associate

JPMorgan Chase & Co.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in London is seeking an Analyst or Associate to join the Quantitative Trading & Research group focused on the Interest Rate Swap market.

You will help design and implement quantitative models powering our trading systems and contribute to pricing, risk management and execution. You will collaborate with a globally distributed team, work on production components, backtesting, data infrastructure and live trading support, and you may participate in on-call activities as part

Qualifications

• Degree in computer science, mathematics, physics, engineering or another quantitative field.
• Full-time experience in systematic trading, software engineering, quantitative development or a comparable technical role.
• Strong programming in a production object-oriented language such as Java or C++, together with proficiency in Python for research and data analysis
• Evidence of owning software end to end, covering design, testing, deployment, and operating it once live
• Knowledge of probability, statistics, and experience with advanced data analysis techniques
• Attention to detail, adaptable, driven and collaborative
• Active interest in markets and quantitative trading

Responsibilities

• Design, build and operate production components of our systematic swaps trading stack (pricing, risk projection, hedging and execution), from initial design through to deployment, monitoring and incident resolution.
• Build the research and data infrastructure that supports it, including backtesting and simulation, signal and feature pipelines, and reproducible analysis over large historical datasets.
• Take models and strategies from prototype to production, so that they are tested, monitored, live, and consistent with the behaviour seen in research.
• Analyse trading data to identify patterns, inefficiencies and revenue opportunities, and turn them into measurable improvements in pricing, hedging and execution.
• 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, investigating issues and improving the monitoring and controls that prevent them

Skills

Java

C++

Python

End-to-end ownership

Statistics

Data analysis

Education

Degree in computer science, mathematics, physics, engineering or another quantitative field

Job description

Are you ready to shape the future of systematic trading? Join our Quantitative Trading & Research group and help design cutting-edge quantitative models that power our trading systems. The business is responsible for systematic trading across FX, Rates, Commodities, and Credit markets. The team is responsible for a broad scope including the design and implementing of cutting edge proprietary quantitative models that drive our automated trading systems (pricing, risk management and execution), the oversight of day-to-day risk and operations, and the optimization Franchise client liquidity offering in a data-driven manner.

As an Analyst or Associate in Quantitative Trading & Research Rates team, you will be primarily focusing on the Interest Rate Swap market. You must be responsible, independent, driven, and able to work in smooth collaboration with the wider team. The environment is fast-paced and challenging. The group is globally distributed so clear written and verbal communication is required. Members of the team are also expected to cover a wide range of responsibilities - spanning trading, quantitative research, and technology—and some on call time will be expected.

Job Responsibilities

• Design, build and operate production components of our systematic swaps trading stack (pricing, risk projection, hedging and execution), from initial design through to deployment, monitoring and incident resolution.
• Build the research and data infrastructure that supports it, including backtesting and simulation, signal and feature pipelines, and reproducible analysis over large historical datasets.
• Take models and strategies from prototype to production, so that they are tested, monitored, live, and consistent with the behaviour seen in research.
• Analyse trading data to identify patterns, inefficiencies and revenue opportunities, and turn them into measurable improvements in pricing, hedging and execution.
• 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, investigating issues and improving the monitoring and controls that prevent them

Required qualifications, capabilities, and skills

• Degree in computer science, mathematics, physics, engineering or another quantitative field
• Relevant full-time experience in systematic trading, software engineering, quantitative development or a comparable technical role
• Strong programming ability in a production object-oriented language such as Java or C++, together with proficiency in Python for research and data analysis
• Evidence of owning software end to end, covering design, testing, deployment, and operating it once live
• Knowledge of probability, statistics, and experience with advanced data analysis techniques
• Attention to detail, adaptable, driven and collaborative
• Active interest in markets and quantitative trading

Preferred qualifications, capabilities, and skills

• Prior experience in Rates markets (swaps, cash or futures)
• Experience with electronic or automated trading systems, such as market data, pricing, order management or pre-trade risk controls
• Experience with large-scale datasets and performance-sensitive or low-latency systems

This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities.