Quantitative Risk Intern - Summer 2027
Posted Aug 10, 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
Tell me about a project where you analyzed data to reach a conclusion. What tools did you use?
What they are checking: Practical skill with Python, R or similar on real data, not just coursework.
Tell me about a time you found an error in your own analysis.
What they are checking: Whether they check their own work and are honest about mistakes.
Why quantitative risk rather than trading or research?
What they are checking: Genuine interest in the risk function and what it does for a trading firm.
What would you do
You may present results to the Executive Management Team. How would you explain a complex risk finding to them?
What they are checking: Whether they can make quantitative work clear and useful for decision makers.
If you had a week to stress test a portfolio of options, how would you approach it?
What they are checking: Ability to choose scenarios, revalue positions and explain results within a short time.
About the work
You would help design and analyze key risk metrics. What risk metrics would you track for a proprietary trading firm and why?
What they are checking: Familiarity with VaR, stress tests, greeks and concentration, and why each one matters.
Explain Value at Risk and its biggest weakness.
What they are checking: Whether they understand both the idea and its limits, such as tail risk and reliance on history.
How would you estimate the volatility of an asset from historical prices?
What they are checking: Basic statistics applied to markets, including choices like window length and weighting.
Two assets each look low risk, but together they make the portfolio riskier. How can that happen?
What they are checking: Understanding of correlation and concentration in portfolio risk.
What is a fat-tailed distribution, and why does it matter for risk?
What they are checking: Awareness that markets have more extreme moves than normal models predict.
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As published by DV Trading.