Quant Research Summer: Algorithmic Trading & Analytics

JP Morgan Chase; New York (NY); On-site; USD 90,000 - 120,000; Full time

Job summary

JPMorganChase is seeking a Summer Associate for the Quantitative Trading & Research Markets team in New York. You will work on systematic trading, data analytics, and portfolio optimization, building models and strategies alongside traders and technologists.

You will contribute to pricing, hedging, and deploying research insights to support growth and market leadership, while developing your skills through hands-on experience and professional mentorship within a global organization.

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 optimize pricing of financial instruments to support growth and market share.
• Manage risk in existing portfolios.

Skills

PhD student

Python

C++

Analytical skills

Teamwork

Education

PhD candidate

Tools

Python

C++

Job description

JPMorganChase is seeking a Summer Associate for the Quantitative Trading & Research Markets team in New York. You will work on systematic trading, data analytics, and portfolio optimization, building models and strategies alongside traders and technologists.

You will contribute to pricing, hedging, and deploying research insights to support growth and market leadership, while developing your skills through hands-on experience and professional mentorship within a global organization.