Campus Quantitative Research Intern (Off-Cycle - Winter/Spring 2027)
Jump TradingAbout the Role
This internship offers the opportunity to contribute across three interconnected roles: quant researcher/data scientist, trader, and software developer. You'll work with Jump Trading's research teams to build predictive models from big data and develop algorithms that automatically execute trades across dozens of global financial exchanges.
You'll receive training and mentorship from experienced quants and traders in areas including machine learning, trading mechanics, statistics, Python, and C++. The role involves helping build predictive models using one of the world's largest supercomputers and devising automated trading strategies to test against world-class competition. Your specific contributions will depend on your background, interests, and the skills you develop during the internship.
Requirements
- Graduating in 2027 (off-cycle internship)
- Interested in working in Hong Kong or Shanghai for their full-time job after graduation
- Uncommon drive to learn and improve
- Entrepreneurial spirit
- Strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.)
- Reliable and predictable availability required