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2026 Industry Associate Fellowship Global Commodities Group - Emerging Talent Program
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JPMorgan Chase Bank, N.A.
Houston, TX (In Person)
Full-Time
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Job Description
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. Job 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. Required qualifications, skills, and capabilities
- Be accepted into and actively enrolled in a PhD program.
- Be a current PhD student eligible for Associate-level participation.
- 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. Preferred Qualifications
- 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.
Locations you can join:
- Houston, TX
- Your exact office location maybe within proximity to one of our main hubs.
Cohort Start Date:
June 2026- You must be able to report to your designated office location on your start date.
- Relocation assistance is not offered for this role.