Campus Quantitative Researcher (Off-Cycle - Winter/Spring 2027 Intern)

Jump Trading is seeking a Campus Quantitative Researcher for an off-cycle internship (Winter/Spring 2027). You will contribute across three roles-quant researcher, data scientist, trader, and software developer-based on your skills and interests. You will work with experienced quants and traders to build predictive models from big data, develop algorithms for automated execution across global financial exchanges, and devise trading strategies to test against world-class competition.

Candidates for this off-cycle internship should be graduating in 2027 and interested in working in Hong Kong or Shanghai for their full-time role after graduation.

What you'll do

• Build predictive models leveraging one of the largest supercomputers in the world
• Develop algorithms to automatically execute trades across dozens of financial exchanges around the world
• Devise automated trading strategies and test them against competitive markets
• Receive training, coaching, and mentorship from experienced quants and traders in machine learning, trading and market mechanics, statistics, Python, and C++

What you bring

• Strong analytical skills with an uncommon drive to learn and improve
• Solid programming and/or quantitative analysis skills (statistics, data mining, mathematics, machine learning)
• A background in a technical discipline such as Mathematics, Physics, Computer Science, Statistics, or a related field
• Reliable and predictable availability

Nice to have

• Prior knowledge of finance or trading (not required; training will be provided)
• Background in fields such as Electrical Engineering, Neuroscience, Materials Science, or Operations Research

About Jump Trading

Jump Trading Group is committed to world-class research and empowers exceptional talent in Mathematics, Physics, and Computer Science to push scientific boundaries and apply cutting-edge research to global financial markets. The company designs and deploys technologies across industries, funds start-ups, and partners with leading research organizations and universities.