Location: LONDON, LONDON, United Kingdom

The Fixed Income Currencies and Commodities (FICC) Quantitative Trading group is responsible for systematic trading across FX, Rates, Commodities, and Credit markets. The team covers a broad scope including the design and implementation of cutting-edge proprietary quantitative models – leveraging advanced AI and machine learning techniques – that drive our automated trading systems (pricing, risk management, and execution), the oversight of day-to-day risk and operations, and the optimization of Franchise client liquidity offering in a data-driven manner.

Job Summary

As an Analyst / Associate in FICC Quantitative Trading, you will contribute to the building of systematic trading strategies using quantitative, AI, and machine learning approaches. 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

• Analyze large and complex datasets to identify patterns and revenue opportunities
• Conduct back testing and assess pricing, risk management, and execution strategies, with a focus on leveraging machine learning models
• Expand the group’s library of modeling, analytics, and automation tools
• Review trading performance and make data-driven decisions, utilizing statistical and machine learning methods
• Maintain and improve trading software systems and tools
• Resolve day-to-day trading issues

Required qualifications, capabilities, and skills

• Advanced Degree in computer science, math, physics, engineering, or other quantitative fields
• Relevant full-time experience
• Ability to demonstrate strong programming skills in C++/Java or other object-oriented languages
• Strong knowledge of statistics and machine learning
• Attention to detail, adaptable, driven, and collaborative
• Demonstrate interest in markets, systematic trading

Preferred qualifications, capabilities, and skills

• Ability to understand and map data flows across applications and data sources
• Prior experience in Rates markets (cash or swaps)
• Knowledge of order types, L2 market data, and central limit order books
• Experience with KDB+/q

 

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.

 

Join J.P. Morgan's FICC Quantitative Trading team to craft AI-promoten systematic trading strategies using machine learning.