Associate, Quantitative Research & Markets Treasury Analytics

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. in New York is seeking an Associate in Quantitative Research to deliver data-driven solutions for liquidity, funding, and capital management.

You will design and implement advanced models, build tools to predict P&L, and collaborate with Markets Treasury and tech partners to drive innovation. The role offers exposure to large-scale data analytics, AI applications, and automation of reporting processes, enabling actionable insights for senior management and cross-functional

Qualifications

• Masters or equivalent in quantitative field such as Mathematics, Computer Science, Physics or Engineering.
• Expert-level Python programming with production-grade systems experience.
• Experience in finance in a quantitative role.
• Strong communication and stakeholder engagement skills.
• Market knowledge of trading concepts and terminology.

Responsibilities

• Architect advanced data analytics frameworks for scalable, secure solutions.
• Lead data analysis initiatives on large financial datasets to inform decisions.
• Design and manage end-to-end analytics tools and platforms.
• Collaborate with leadership to optimize financial resource allocation.
• Partner with technology teams to scale analytical frameworks.
• Drive automation by transforming manual processes into scalable platforms.
• Foster global collaboration with QR teams worldwide.

Skills

Python

Mentoring

Analytical thinking

Communication

Strategic thinking

Problem solving

Education

Master's degree

Tools

Java

Git

Job description

JPMorgan Chase & Co. in New York is seeking an Associate in Quantitative Research to deliver data-driven solutions for liquidity, funding, and capital management.

You will design and implement advanced models, build tools to predict P&L, and collaborate with Markets Treasury and tech partners to drive innovation. The role offers exposure to large-scale data analytics, AI applications, and automation of reporting processes, enabling actionable insights for senior management and cross-functional