Quantitative Trading & Research Summer Associate

JPMorganChase; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

JPMorganChase’s Summer Associate program in the Quantitative Trading & Research Markets invites PhD students in mathematics, statistics, physics, engineering or computer science to help build models, pricing, hedging, and trading strategies across asset classes in a fast-paced New York environment.

You will collaborate with traders, technologists and risk managers to deploy research insights, price and hedge instruments, and advance data-driven trading ideas.

Qualifications

• Enrolled in a PhD program in mathematics, statistics, physics, engineering, computer science, data science, or machine learning.
• Graduating between December 2027 and August 2028.
• Demonstrates computer programming experience (e.g., Python, C++, or another programming language).
• Demonstrates analytical, quantitative, and problem-solving skills.

Responsibilities

• Develop and maintain mathematical models and cutting-edge algorithms, methodologies, and supporting infrastructure.
• Value and hedge financial transactions across a range of products, from flow products to complex derivative deals.
• Support quantitative modeling and research that inform trading strategies and decision-making.
• Collaborate with trading teams to translate research insights into practical market applications.
• Partner with quantitative researchers, technologists, traders, marketing, and risk managers across teams.
• Conduct alpha research, calibrate model parameters, and optimise pricing of financial instruments to support growth and market share.
• Manage risk in existing portfolios.

Skills

Python

C++

Analytical skills

Quantitative modeling

Education

PhD candidate in mathematics, statistics, physics, engineering, CS or data science

Tools

Python

C++

Job description

JPMorganChase’s Summer Associate program in the Quantitative Trading & Research Markets invites PhD students in mathematics, statistics, physics, engineering or computer science to help build models, pricing, hedging, and trading strategies across asset classes in a fast-paced New York environment.

You will collaborate with traders, technologists and risk managers to deploy research insights, price and hedge instruments, and advance data-driven trading ideas.