Campus Quantitative Researcher, UG/MS (Intern)
Posted Aug 8, 2026 · We last checked this listing on Sep 20, 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.
Behavioral
Walk me through a math or stats problem you found genuinely hard and how you eventually cracked it.
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.
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?
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?
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.
appetite for risk-taking and how they process losses, since the posting explicitly wants risk-takers
Technical
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?
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?
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.
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?
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?
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?
actual hands-on programming depth versus resume-listed familiarity
Situational
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?
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?
how they operate in fast, collaborative, deadline-driven team settings
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