Campus Quantitative Researcher (Intern)

About Jump Trading

Jump Trading is committed to world-class research. We empower exceptional talent in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting-edge research to global financial markets. Our culture values constant innovation, requiring fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent through incentivized collaboration and mutual respect. At Jump, research outcomes drive more than superior risk-adjusted returns—we design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

About the Role

The Quant Research & Trading internship is an intensive 10-week program focused on enhancing quantitative and programming skills, while giving participants experience of what it’s like to be a full-time quant researcher at Jump.

Interns may contribute to trading teams in a variety of roles, or a blend of all three: quantitative researcher/data scientist, algorithmic trader, and software developer. The program is designed to train across multiple areas, including Machine Learning, trading/market mechanics, C++, statistics, and our research process for signal generation.

Applying lessons from training, interns will first work with fellow interns to develop predictive models and automated trading strategies for live trading.

Next, interns will rotate through and work with several trading teams. During each rotation, they will work on a project with the trading team while being mentored by experienced quant researchers, traders, and developers. Other duties as assigned or needed.

Who Should Apply?

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

No prior knowledge of finance or trading is necessary, as Jump will provide the training required. Reliable and predictable availability is required.

While we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Neuroscience, Materials Science, Operations Research, and more.

If you have outstanding skills in math and programming and you are curious about the challenge of improving research with daily feedback from competitive markets, we encourage you to apply.