Campus Quantitative Researcher (Intern)

Jump Trading•Chicago, IL

51d

About The Position

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting 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. Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. About the Role: The quant research internship is an intensive 10-week program focused on enhancing your quantitative and programming skills, as well as helping you experience what it's like to be a full-time quant researcher at Jump. At Jump, our people contribute to trading teams in the following roles, or a blend of all three: quant researcher, quant trader, and quant developer. During our internship you will get training in all of these areas, with a focus on our research process for signal generation, machine learning, trading / market mechanics, C++, Python, and statistics. You will work with fellow interns to develop your own predictive models and automated trading strategies for live trading. Then you will have the opportunity to work with our trading teams on meaningful projects with real impact while receiving daily 1:1 mentorship from experienced quant researchers, traders, and developers. Other duties as assigned or needed.

Requirements

Outstanding skills in computer science, machine learning, statistics, and mathematics
Competitive spirit and uncommon drive to learn and improve
Programming experience
Appetite for risk-taking
Demonstrated interest in financial markets
Reliable and predictable availability required.

Responsibilities

Develop predictive models and automated trading strategies for live trading.
Work with trading teams on meaningful projects.
Daily 1:1 mentorship from experienced quant researchers, traders, and developers.
Other duties as assigned or needed.

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