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Chicago, IL

Internship

Onsite

$300K/yr - $300K/yr

Intern

Jump Trading Group is committed to world class research and empowers exceptional talents to apply cutting edge research to global financial markets. The PhD quant research internship is an intensive program designed to provide real-world research experience, where interns will work closely with trading teams on predictive modeling and data analysis projects.

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Responsibilities

Match with a trading team and own a research project end to end, in areas such as predictive modeling, alpha research on new datasets, and improving the models and systems behind live trading
Collect, clean, and explore large datasets (some clean, some noisy, some very noisy) and engineer features that turn raw data into predictive signal
Build, fit, and evaluate models on our supercomputing grid, and present your results to your team throughout the summer, culminating in a final presentation
Receive daily 1:1 mentorship from experienced quant researchers, with growing autonomy and compute as the summer progresses
Other duties as assigned or needed

Qualification

Required

Currently pursuing a PhD in Statistics, Mathematics, Computer Science, Physics, or any highly quantitative field; recent researchers have come from fields as varied as Electrical Engineering, Operations Research, and Economics
Systematic research thinking: the ability to form well-educated hypotheses, design rigorous tests, and draw statistically sound, generalizable conclusions. No matter your area, these are the fundamental aspects of a good researcher, and it is no different at Jump Trading
Ownership of your research: the ability to explain the choices you made, the alternatives you considered and rejected, and why your approach won. Every idea demands a premise, and every rejection deserves a reason
Experience conducting an in-depth research project with real-world data
Programming experience in Python, with the ability to read, understand, and debug code, including code you didn't write
Communicative and collaborative working style, sharing results early and often and treating mentors' time as a resource to use, not conserve
Creativity and initiative to explore ideas beyond those suggested to you, with the judgment to bring your team along as you do
Perseverance: successful research is the result of lots of failure and intellectual risk-taking, and a PhD is often proof that you can stay with a hard problem for years without quitting
Reliable and predictable availability required

Preferred

Proficiency in C++ and/or Python (either works, and both is better)
Familiarity with financial markets. No prior knowledge of finance or trading is necessary; we will give you the training that you need