The Ultimate Quant Interview Guide
Everything you need to know to land a role at a top proprietary trading firm or hedge fund. From the application process to the final onsite.
Breaking into quantitative finance is notoriously difficult. The acceptance rates for top firms like Jane Street, Citadel, and Hudson River Trading are often lower than 1%. However, the interview process is structured and predictable. With the right preparation, you can significantly increase your odds.
1. Understanding the Roles
Before diving into prep, it's crucial to understand the different tracks. "Quant" is a catch-all term that usually refers to three distinct roles:
- Quantitative Trader (QT): Focuses on making trading decisions, managing risk, and understanding market mechanics. Interviews heavy on mental math, probability, and betting games.
- Quantitative Researcher (QR): Focuses on building mathematical models and finding signals in data. Interviews involve statistics, data analysis, and sometimes machine learning.
- Quantitative Developer (QD): Focuses on building the infrastructure for trading. Interviews are similar to FAANG SWE interviews but with a focus on C++, low-latency systems, and OS internals.
Firm-Specific Guides
Resumes That Get Interviews
Quant recruiters spend about 6 seconds on a resume. Here is what they look for:
- Competitions: Putnam Fellow, USAMO, IMO, IOI medals. These are the golden tickets.
- GPA: Unlike Tech, GPA matters. 3.8+ is the safe zone.
- Keywords: "Stochastic Calculus", "Time Series Analysis", "C++17", "Low Latency".
- Projects: Don't just list class projects. Build a trading bot (even a simple one). Backtest a strategy on QuantConnect. Show interest in the markets.
2. The Interview Process
Most firms follow a similar funnel. Here is what you can expect:
Usually an Online Assessment (OA) or a recruiter screen. OAs test basic probability (e.g., Green Book questions) or coding (LeetCode Medium/Hard).
1-2 technical phone screens. Expect rapid-fire mental math ("What's 37 * 43?") and probability brainteasers.
3-5 back-to-back rounds. Deep dives into probability, market making games, coding, and behavioral fit.
3. Key Topics to Master
Probability & Statistics
This is the bread and butter of quant interviews. You need to be comfortable with:
- Expected Value (EV): "What is the fair value of this game?"
- Conditional Probability: Bayes' Theorem applications.
- Combinatorics: Permutations, combinations, and path counting.
- Distributions: Normal, Binomial, Poisson, and Uniform distributions.
Mental Math
Speed and accuracy are proxies for how well you can handle pressure. You should be able to:
- Multiply 2-digit by 2-digit numbers (e.g., 23 * 57) in under 10 seconds.
- Estimate square roots and fractions quickly.
- Perform quick fractional arithmetic.
Market Making & Betting
Interviews will often simulate a market. "Make me a market on the population of New York City."
You need to understand:
- Bid-Ask Spread: Why it exists (inventory risk, adverse selection).
- Confidence Intervals: Setting widths based on uncertainty.
- Updating Priors: Integrating new information into your market.
4. Recommended Study Plan
If you have 4 weeks to prepare, here is how we recommend splitting your time:
Read "A Practical Guide to Quantitative Finance Interviews" (Green Book), Chapters 2-4.
Practice Zetamac daily. Work through "Heard on the Street".
Find partners to practice market making games. Verbal communication is key.
Review LeetCode Mediums (Arrays, DP, Hash Maps). Brush up on Python/C++ syntax.
Conclusion
The path to a quant offer is challenging but manageable. It requires consistent practice and a deep understanding of probability and markets. Start small, track your progress, and simulate interview conditions as much as possible.
Ready to start practicing?
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