AI-Driven Quantitative Research for Credit Trading

JPMorgan Chase & Co.; Paris; On-site; EUR 90,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. in Paris seeks an Associate or Vice President in Quantitative Research within the Credit Portfolio Lending Group to design, build, and deploy AI-driven tools that support trading workflows and portfolio risk management.

You will work with global teams to advance automation, leverage ML techniques for signal generation and hedging, and contribute to the digital transformation of credit markets.

Qualifications

• Advanced degree in mathematics, statistics, physics, financial engineering, computer science, or equivalent.
• Experience in quantitative research, markets, or analytics supporting fixed income, credit, or lending desks.
• Hands-on experience building and deploying AI agents, machine learning, or LLM-based applications for financial markets or trading workflows.
• Experience in portfolio optimization and familiarity with related software and tools.
• Strong Python programming and data science capabilities.

Responsibilities

• Design, build, and deploy AI, LLM, and generative AI tools for CPG trading workflows.
• Explore machine learning techniques to enhance trading-signal generation and portfolio optimization.
• Stay at the forefront of AI capabilities and identify practical applications for daily desk operations.
• Leverage credit portfolio data to identify opportunities and hedging strategies.
• Collaborate with model control teams for model reviews and compliance.
• Automate daily risk and position reports to streamline workflows.
• Support portfolio hedging, credit curve reconciliation, and loan sale execution.
• Interact with Markets QR sub-teams to share best practices.

Skills

Python

Analytical mindset

Quantitative research

Communication skills

Education

Advanced quantitative degree

Tools

ML tools

Portfolio optimization tools

Job description

JPMorgan Chase & Co. in Paris seeks an Associate or Vice President in Quantitative Research within the Credit Portfolio Lending Group to design, build, and deploy AI-driven tools that support trading workflows and portfolio risk management.

You will work with global teams to advance automation, leverage ML techniques for signal generation and hedging, and contribute to the digital transformation of credit markets.