Summer Quantitative Risk & Treasury Research Associate

J.P. Morgan; New York (NY); On-site; USD 78,000 - 100,000; Full time

Job summary

JPMorganChase in the United States is seeking a Quantitative Research – Risk and Treasury Summer Associate to join the Quantitative Modeling Program. You will apply academic knowledge to real-world financial challenges, gain hands-on experience, and build a valuable network.

You will analyze data, back test strategies, and contribute to risk and treasury modeling across asset classes. The internship offers exposure to model development, validation, and collaboration with senior researchers, with

Qualifications

• Enrolled in a Master’s, or PhD program in mathematics, statistics, physics, engineering, computer science, economics, or data science/machine learning, graduating between December 2027 and July 2028 in the U.S.
• Proficiency in Python, and/or C++ programming.
• Strong modeling, analytical, quantitative, and problem-solving skills.
• Excellent communication skills for presenting complex concepts.
• Interest in banking analytics, global markets, and quantitative research.
• Ability to thrive in a fast-paced, collaborative environment.

Responsibilities

• Analyze data to identify patterns and trends.
• Conduct back testing and assess strategies.
• Maintain and improve software systems and tools for risk and treasury operations.
• Assess models for conceptual soundness, risks, and enhancements.
• Propose creative solutions to complex challenges.
• Collaborate with internal teams to advance risk and treasury services.
• Focus on model development and review of conceptual design.
• Develop, validate, and enhance mathematical models and algorithms.
• Optimize financial solutions across asset classes and instruments.

Skills

Python

C++

Education

Master’s or PhD in mathematics/ statistics/ physics/ engineering/ CS/ economics/ data science

Tools

R

MATLAB

SQL

Job description

JPMorganChase in the United States is seeking a Quantitative Research – Risk and Treasury Summer Associate to join the Quantitative Modeling Program. You will apply academic knowledge to real-world financial challenges, gain hands-on experience, and build a valuable network.

You will analyze data, back test strategies, and contribute to risk and treasury modeling across asset classes. The internship offers exposure to model development, validation, and collaboration with senior researchers, with