Generator
Quant Interview Question Generator
Curated bank of probability, stats, derivatives, microstructure, and regression questions across easy/medium/hard. Reproducible by seed.
- Inputs
- Configuration
- Runtime
- Instant
- Privacy
- Client-side · no upload
- API key
- Not required
- Methodology
- Open →
Configuration
Topics
Difficulty
45 questions in bank · curated, no AI generation.
Questions selected
8
2 probability · 3 stats · 1 derivatives · 1 microstructure · 1 regression · difficulty: medium.
Question set
Q1 · derivatives · medium
Why is the Black-Scholes price of an at-the-money call approximately 0.4 · S · σ · √T?
Q2 · stats · medium
You estimate Sharpe = 1.0 over 252 days. Construct an approximate 95% CI on the annualized Sharpe.
Q3 · microstructure · medium
What is adverse selection in an order book?
Q4 · probability · medium
100 people board a plane in order; the first sits randomly, others in their assigned seat if free, else random. P(last person gets their assigned seat)?
Q5 · probability · medium
X and Y are i.i.d. uniform on [0,1]. What is P(|X − Y| < 0.1)?
Q6 · stats · medium
Why does multiple-testing inflate the false-discovery rate, and what's one classic correction?
Q7 · stats · medium
What is the bias-variance decomposition of MSE?
Q8 · regression · medium
Why are robust (HAC / Newey-West) standard errors used in financial regressions?
How to use
Step-by-step
- 1
Pick category (probability, brain-teaser, time-series, programming, behavioral) and difficulty (junior/mid/senior).
- 2
Generate 5-10 questions. Solve each without aids; the timer (optional) replicates interview pressure.
- 3
Reveal the model solution after solving. Read the alternative approaches when listed — interviews often test which approach you pick, not just whether you solve.
- 4
Track which questions you've answered. The generator avoids near-duplicates on subsequent sessions.
- 5
Use the 6-week prep cycle on the methodology page: weeks 1-2 fundamentals, 3-4 mid-difficulty, 5-6 senior + behavioral.
Glossary references
Terms used by this tool
Questions people ask next
FAQ
What categories does the generator cover?
Five from the methodology page: probability and combinatorics, brain-teasers and stochastic processes, time-series statistics, programming (algorithmic + finance-flavored), and behavioral. Each category has difficulty tiers calibrated to junior/mid/senior interviews at quant-shop tiers (Tier 1: Jane Street, Tier 2: Bridgewater, Tier 3: typical hedge fund).
Are these real interview questions?
Most are derived from public collections (Quant Job Interview Questions and Answers, Practical Guide to Quantitative Finance Interviews) plus user-contributed variations. Direct copies of post-2020 actual interview questions are excluded by the methodology page — interviewers rotate questions and we don't want to give specific shops' active questions away.
How do I use this to prep?
Pick a category, set difficulty, generate 5-10 questions per session. Solve without aids first, then check the model solution. The tool tracks which questions you've answered and biases away from repeats. The methodology page recommends a 6-week prep cycle: weeks 1-2 fundamentals, weeks 3-4 mid-difficulty, weeks 5-6 senior + behavioral.
What's the difficulty calibration?
Junior: standard probability and basic regression — should be solvable in 5-10 min. Mid: requires applying multiple concepts together, stochastic process derivations — 15-25 min. Senior: open-ended, multiple valid approaches, requires articulating tradeoffs — 30+ min. The labels are calibrated to interview transcripts in the methodology dataset.
Does it grade my answers?
It provides a model answer with full derivation. For the open-ended senior questions, model answers show one good approach plus 1-2 alternatives. The grading is self-assessment — there's no auto-grader for free-form quant answers.
Related deep dive
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Long-form context behind the tool output.
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