Quantitative Research - Risk - Off-Cycle - Analyst

J.P. Morgan

London

Expected closing date: Sunday, 1 November 2026

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TL;DR

Key Takeaways

Gain hands-on experience in quantitative research, risk, and treasury.
Analyze data, develop models, and optimize financial solutions.
Requires a Master's program enrollment in a quantitative field, graduating between Sept 2026 and Mar 2028.
Proficiency in Python and/or C++ is required.

About the Role

As a Quantitative Research – Risk and Treasury off-cycle intern in the Quantitative Modeling Program, you will work alongside top-tier professionals in a dynamic environment. You’ll apply academic knowledge to real-world financial challenges, gain hands-on experience, and build a valuable network. This program sets a solid foundation for your career, with potential full-time offers upon successful completion.

Job 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.

Required Qualifications, Capabilities, and Skills

Enrolled in a Master’s program in mathematics, statistics, physics, engineering, computer science, economics, or data science/machine learning, graduating between September 2026 and March 2028.
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.

Preferred Qualifications, Capabilities and Skills

Experience with R, MATLAB, or SQL.
Understanding of banking products, financial instruments, and market dynamics.
Strong organizational skills for managing multiple projects.
Ability to articulate complex quantitative concepts to diverse audiences.
Familiarity with AI tools used in research and programming.