2027 Quantitative Research – Markets – Summer Internship - Associate– United States

Summer Associate internship in the Quantitative Trading & Research Markets team at JPMorganChase. This role focuses on systematic trading, financial engineering, data analytics, statistical modeling, and portfolio optimization.

About the role

You will work closely with traders, sales, marketing, technologists, and risk managers across products and regions. Responsibilities include supporting research and strategy deployment, client and sales engagement, product innovation, valuation and risk management, and inventory and portfolio optimization, including electronic trading and market-making activities. You will help build quantitative models, methodologies, and infrastructure to price, hedge, and trade financial products, advancing algorithmic trading and data-driven strategies such as statistical arbitrage.

Our Global Markets teams develop sophisticated solutions to help clients manage risk, increase returns, and solve complex financial problems. You’ll be part of a dynamic team, solving a wide range of interesting business issues and challenged in your work every day. The program offers hands-on experience, relevant skills training, and valuable professional networking. Based on individual achievements, those who successfully complete the program may receive offers of full-time employment.

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.

Requirements

• Enrolled in a PhD program in a relevant field (e.g., 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.
• Demonstrates research skills (through coursework, projects, or academic work).
• Works effectively in a dynamic, collaborative environment.
• Presents findings clearly to non-technical audiences through written and verbal communication.
• Attends a college or university in the United States.

Preferred Qualifications

• Demonstrates knowledge of options pricing theory or trading algorithms, or a demonstrated interest in finance through coursework or prior experience.
• Shows confidence and initiative to take ownership and manage projects independently.
• Applies knowledge of machine learning and data science concepts, techniques, and tools.
• Possesses advanced proficiency in any programming language.

Pay

New York, NY: $150,000; Jersey City, NJ: $150,000; Palo Alto, CA: $150,000; Seattle, WA: $150,000.

Schedule

Full time. Internship program duration aligns with summer 2027.

Locations

New York Metro area.