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    Internships/Jump Trading

    Campus Quantitative Researcher, UG/MS (Intern)

    Jump Trading · Chicago, Illinois, United States · New York, New York, United States

    Summer 2026On-sitePaidPosted 2026-07-08
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    About the role#

    This is an intensive 10-week summer internship program designed to provide hands-on experience in quantitative research. Interns work alongside trading teams to gain exposure to signal generation, machine learning, and market mechanics. The program focuses on developing technical skills while contributing to meaningful projects with real-world impact.

    What you'll do#

    • Enhance quantitative and programming skills through daily 1:1 mentorship from experienced researchers, traders, and developers.
    • Participate in training covering signal generation, machine learning, statistics, and programming languages including C++ and Python.
    • Develop predictive models and automated trading strategies for live trading.
    • Collaborate with trading teams on projects that influence research outcomes and market analysis.

    What you'll need#

    • Current enrollment in an undergraduate or graduate program, with a focus on Mathematics, Computer Science, Statistics, Physics, or Finance.
    • Outstanding technical skills in computer science, machine learning, statistics, and mathematics.
    • Demonstrated programming experience.
    • A competitive spirit and a strong drive to learn and improve.
    • Demonstrated interest in financial markets.
    • Reliable and predictable availability.

    Location & details#

    • Locations: Chicago, Illinois and New York, New York.
    • Term: Summer 2026.
    • Work Modality: On-site.
    • Employment Type: Full-time.
    • Sponsorship: Available for eligible candidates.
    Relevant fields:MathematicsComputer ScienceStatisticsPhysicsFinance

    About Jump Trading

    Jump Trading is a privately held financial services firm headquartered in Chicago, Illinois. With a workforce of between 1,001 and 5,000 employees, the organization operates from 13 offices located in 8 countries. The firm engages in trading across a variety of asset classes and time zones, utilizing artificial intelligence and machine learning to support its systems and strategies.

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