Quantitative Trading & Research – Credit Portfolio – Associate

JPMorgan Chase & Co.•New York, NY

About The Position

As an Associate in the Quantitative Trading & Research Portfolio team Data Strategist, you will build data driven, AI-powered tools to help our traders act faster and manage risk smarter. You'll work at the intersection of machine learning, real-time data analysis and quantitative finance to turn complex data into clear, actionable insights. Your work will have immediate, visible impact on how we trade and manage risk.

Requirements

Advanced degree in a quantitative field (Computer Science, Engineering, Mathematics, Physics, Statistics, or Financial Engineering), or 3 years of experience in quantitative research, data analytics, or a related technical role.
Hands-on experience in data analytics and machine learning; exposure to multi-agent AI workflow is a plus.
Strong programming skills with proficiency in numerical and machine learning libraries.
Strong analytical and problem-solving skills, with the ability to communicate complex ideas clearly to business partners.

Nice To Haves

Familiarity with trading concepts, hedging, and risk measures.
Experience with real-time systems, event streaming, or time-series data.
Experience with UI design and visualization tools.

Responsibilities

Design, build, and deploy AI agentic workflows to enhance risk monitoring, signal generation, and control processes for the trading desk.
Develop real-time data pipelines integrating market and reference data to power intraday risk analytics and scenario analysis.
Implement machine learning models for risk forecasting, anomaly detection, market pattern identification and liquidity estimation.
Create intuitive applications and dashboards that deliver actionable risk insights to traders and risk partners.
Collaborate with traders, quantitative researchers, risk teams, and technologists to translate business needs into resilient, well-documented solutions.