2026 Industry Associate Fellowship Global Commodities Group – Emerging Talent Program

JPMorgan Chase & Co. • Houston, TX

3d • Onsite

About The Position

The Industry Associate Fellowship within the Global Commodities Group is an Early Careers Emerging Talent opportunity designed for PhD students to gain hands-on, industry-based experience while continuing their doctoral studies. This program complements academic training by providing applied exposure to real-world business challenges supporting the Systematic Trading business. As an Industry Associate Fellow in the Global Commodities Group, you will engage in practical, project-driven work that applies quantitative and computational expertise to industry use cases within the commodities space. The fellowship is industry-focused and not research-oriented, with an emphasis on professional skill development, applied problem-solving, and exposure to financial markets rather than academic publication. This program is designed to provide a fulltime fixed-term experience working alongside industry leading professionals for a period of up to 1 year.

Requirements

• Be accepted into and actively enrolled in a PhD program.
• Be a current PhD student eligible for Associate-level participation.
• Be an active participant within the Center for Computational Finance and Economic Systems.
• Have availability to work in Houston, TX for the duration of the program.
• Possess strong programming skills in Python, C++, and/or Java.
• Have a solid foundation in one or more of the following areas: statistics, machine learning, probability, optimization, numerical methods.
• Demonstrate strong analytical, problem-solving, and communication skills.
• Show interest in financial markets and the commodities sector.
• Ability to work collaboratively across academic and industry environments.
• Must be authorized to work in the U.S.
• Do not require employment-based immigration sponsorship.

Nice To Haves

• Prior experience or coursework related to systematic risk, systematic trading, or quantitative research in the commodities space.
• Experience applying quantitative or computational models to practical, non-academic problems.

Responsibilities

• Apply advanced quantitative, statistical, and computational techniques to real-world business problems in Global Commodities.
• Support initiatives aligned to Systematic Trading through hands-on project work.
• Translate academic theory into practical, scalable solutions for industry use.
• Analyze large and complex datasets to inform risk, trading, or analytical insights.
• Collaborate closely with industry professionals, engineers, and quantitative teams.
• Build an understanding of financial markets and commodities through applied experience and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree