Campus Quantitative Researcher, UG/MS (Intern)
Posted Aug 8, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Walk me through a math or stats problem you found genuinely hard and how you eventually cracked it.
What they are checking: whether the candidate has real depth of thought rather than surface familiarity with hard material
Tell me about a project where you had to write code that other people depended on. What happened when something broke.
What they are checking: whether they can write and own production-quality code, not just scripts for a class
What's something in the markets you've been following or trading yourself, and what's your actual view on it right now?
What they are checking: genuine, demonstrated interest in markets rather than a rehearsed answer
Describe a time you disagreed with a mentor or teammate about the right approach to a problem. What did you do?
What they are checking: ability to hold a position, argue it, and still collaborate well under Jump's competitive culture
Tell me about a time you took on real risk, in trading, competition, or otherwise, and it didn't pay off. What did you take from it.
What they are checking: appetite for risk-taking and how they process losses, since the posting explicitly wants risk-takers
What would you do
You're given a large order to fill in a market that moves against you as you trade. How would you think about breaking it up over time?
What they are checking: intuition for market microstructure and trading mechanics beyond pure math
You're working with a group of fellow interns on a shared trading strategy and two people want to take it in different directions with limited time left. How do you handle it?
What they are checking: how they operate in fast, collaborative, deadline-driven team settings
About the work
Say I hand you a coin and ask if it's fair after you flip it 20 times and get 14 heads. How would you decide?
What they are checking: grasp of basic statistical inference and comfort quantifying uncertainty
You have a dataset of daily returns for a stock. How would you go about figuring out if there's any predictable structure in it, and how would you avoid fooling yourself?
What they are checking: understanding of overfitting and signal validation, core to quant research work
Explain what a p-value actually means to someone who has never taken a stats class.
What they are checking: depth of statistical understanding versus memorized formulas
If I gave you a coin that lands heads with unknown probability p and let you flip it as many times as you want, how would you construct a betting strategy that maximizes your long run growth?
What they are checking: familiarity with concepts like Kelly criterion and risk-adjusted decision making under uncertainty
How would you design a simple machine learning model to predict short term price moves, and what would worry you most about trusting its output?
What they are checking: machine learning fluency paired with healthy skepticism about spurious results
What is something in C++ or Python that tripped you up before you really understood it?
What they are checking: actual hands-on programming depth versus resume-listed familiarity
Practice this interview out loud.
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Practice this out loudThe full job description
As published by Jump Trading.