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

We build predictive models from big data and develop algorithms to automatically execute trades in dozens of financial exchanges around the world.

At Jump you will have the opportunity to contribute in a blend of three roles – quant researcher / data scientist, trader, and software developer – based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump.

You will receive training, coaching and mentorship from experienced quants/traders to successfully apply skills in a variety of areas like machine learning, trading / market mechanics, statistics, Python, and C++. You will help build predictive models, leveraging one of the largest supercomputers in the world, and devise automated trading strategies to test in the markets against world-class competition. Other duties as assigned or needed.

Who Should Apply?

• We are seeking the sharpest analytical minds from top undergraduate and graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.).