AI-Driven Credit Portfolio Quant Research Associate

Aumni; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a diligent quantitative researcher to join the Credit Portfolio Group, delivering cutting-edge tools and models to enhance portfolio management, trading, and distribution with emphasis on AI, LLMs, and generative AI agents for a quantitative edge and automation.

The role spans design to implementation, collaborating with QR teams and model control to ensure compliance while applying AI to market-making, risk, and hedging across credit portfolios.

Qualifications

• Advanced degree in mathematics, statistics, physics, financial engineering, computer science, or equivalent.
• 4+ years in quantitative research, markets, or analytics on fixed income/credit/lending desks.
• Hands-on AI/ML/LLM applications in financial markets or trading desks.
• Experience optimizing portfolios and using related tools and software.
• Strong Python and data-science skills with clear communication.

Responsibilities

• Design, build, and deploy AI/LLM-based tools for trading workflows and risk monitoring.
• Improve market-making algorithms, quoting tools, and portfolio optimization.
• Stay current with AI capabilities and identify practical desk applications.
• Leverage credit portfolio data to spot opportunities and hedging strategies.
• Collaborate with model control for timely model reviews and compliance.
• Automate daily risk and position reporting to support automation initiatives.
• Enhance trade support and hedging infrastructure for portfolio strategies.

Skills

AI/ML applications

Portfolio optimization

Python programming

Analytical thinking

Strong communication

High-pressure teamwork

Education

Advanced degree in math/stats/physics/financial eng/CS

Tools

Python

Job description

JPMorgan Chase & Co. in New York seeks a diligent quantitative researcher to join the Credit Portfolio Group, delivering cutting-edge tools and models to enhance portfolio management, trading, and distribution with emphasis on AI, LLMs, and generative AI agents for a quantitative edge and automation.

The role spans design to implementation, collaborating with QR teams and model control to ensure compliance while applying AI to market-making, risk, and hedging across credit portfolios.