AI-Driven Credit Portfolio Quant Research VP

JPMorganChase; Paris; On-site; EUR 90,000 - 150,000; Full time

Job summary

JPMorgan Chase in Paris seeks an Associate or Vice President in Quantitative Research for the Credit Portfolio Lending Group (CPG). You will design, build, and deploy AI-driven solutions to transform portfolio management and trading, collaborating with global teams to accelerate decision-making and automate processes.

The role emphasizes AI agents, ML techniques, and automation to optimize credit risk strategies and daily reporting, with opportunities to contribute to digital transformation

Qualifications

• Advanced degree in mathematics, statistics, physics, financial engineering, computer science or equivalent.
• 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 software design and data science skills, with Python experience.

Responsibilities

• Design, build, and deploy AI, LLM, and generative AI agent-based tools for CPG trading workflows.
• Explore and implement machine learning techniques to enhance trading-signal generation and portfolio optimization.
• Stay at the forefront of emerging AI capabilities and identify practical applications for daily desk operations.
• Collaborate with model control teams for timely review and approval of models, ensuring compliance.
• Automate daily risk and position reports, streamlining workflows for broader automation and digital transformation.

Skills

Python

Quantitative research

AI agents / LLMs

Portfolio optimization

Data analysis

Communication skills

Mathematical modeling

Credit markets knowledge

Education

Advanced degree in mathematics, statistics, physics, financial engineering, computer science

Job description

JPMorgan Chase in Paris seeks an Associate or Vice President in Quantitative Research for the Credit Portfolio Lending Group (CPG). You will design, build, and deploy AI-driven solutions to transform portfolio management and trading, collaborating with global teams to accelerate decision-making and automate processes.

The role emphasizes AI agents, ML techniques, and automation to optimize credit risk strategies and daily reporting, with opportunities to contribute to digital transformation