Fixed Income - Currencies and Commodities (FICC) - Quantitative Trading - Associate

JPMorgan Chase & Co.•New York, NY

About The Position

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 Associate in Fixed Income, Currencies, and Commodities (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. As a member of the team, you are also expected to cover a wide range of responsibilities, spanning trading, quantitative research, and technology and some on-call time will be expected.

Requirements

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
Clear written and verbal communication is required

Nice To Haves

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

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