Quant Interview Prep
Practice probability, coding, mental math, market making, Fermi estimation, and firm-specific mock interviews. One structured platform for Jane Street, Citadel, Optiver and more.
Problems from interviews at
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Quant interviews aren't one skill. QuantReady brings together the drills candidates normally piece together from books, coding sites, spreadsheets, and forum posts: problems, speed math, market making, firm-specific guides, and mock interviews.
Solve probability, coding, finance, and brainteaser problems with a real editor, hidden tests, and step-by-step editorials.
Start with a free problem →A test detects a rare disease. Given prevalence, sensitivity and specificity, find P(disease | positive).
def solve(p, s, c): num = p * s den = p * s + (1 - p) * (1 - c) return num / den
Solve probability, coding, finance, and brainteaser problems with a real editor, hidden tests, and step-by-step editorials.
A test detects a rare disease. Given prevalence, sensitivity and specificity, find P(disease | positive).
def solve(p, s, c): num = p * s den = p * s + (1 - p) * (1 - c) return num / den
Build the mental fluency fast-paced trading interviews demand: arithmetic, sequences, estimation, probability, and firm-style tests.
Question 4 / 10
Expected value of a fair six-sided die?
3 / 3
Correct
100%
Accuracy
8.4s
Avg time
Full accuracy and response-time breakdown in your Performance Stats.
Practice expected value, quoting, spread discipline, and risk management through dice, cards, and Fermi estimation games.
Bid
12.8
Ask
14.2
Don't prepare generically. Read firm-specific guides for Jane Street, Citadel, Optiver, HRT, Two Sigma, IMC, and more: what each firm actually tests, the interview format, and which modes to drill, based on public interview reports.
What Optiver tests
Recommended prep
Simulate a timed, firm-weighted interview drawn from the problem bank, then review a score report with your completion and timing on every problem.
75%
Score
3 / 4
Completed
51m
Total time
Problem breakdown
Expected Value of a Dice Game
Easy · Probability
Done
6m 12s
Optimal Market-Making Spread
Medium · Market Making
Done
14m 03s
Card Counting Edge
Medium · Probability
Done
11m 40s
Stochastic Process Limit
Hard · Stochastic
Skipped
20m 00s
Twelve structured learning paths covering every topic tested at elite quant trading firms, ordered by prerequisite so you always know what to study next.
Bayes, expected value, distributions, Markov chains, and martingales.
Start learning →Hypothesis tests, regression, Sharpe ratio, and signal detection.
Start learning →Dynamic programming, graphs, trees: the building blocks of coding rounds.
Start learning →Random walks, Brownian motion, and stochastic calculus.
Start learning →Black-Scholes, Greeks, put-call parity, and implied volatility.
Start learning →Value at Risk, portfolio optimization, hedging, and fixed income.
Start learning →Classic logic puzzles, lateral thinking, and game-theory traps.
Start learning →Number theory, linear algebra, sequences, and mental-math fluency.
Start learning →Motivation, decision-making, and self-awareness for trading-firm interviews.
Start learning →Market mechanics, fixed income, ETFs, and core financial products.
Start learning →Supervised learning, model validation, and feature engineering for quants.
Start learning →Order books, market impact, execution algorithms, and tick data.
Start learning →Not just another problem bank. Every feature exists because real interviews are hard and preparation needs to match.
The same editor you use at work. Python 3 and C++ — pick C++17, 20, or 23. Time and memory limits, hidden test cases. If your code passes here, it passes on the day.
Problems tagged by firm: Jane Street brain-teasers, Citadel algorithmic sets, Two Sigma probability sequences. Know exactly what to expect.
Conditional probability before Bayes. Calculus before Black-Scholes. Markov chains before stochastic processes. Each topic shows what to master first, so you stop skipping ahead and getting stuck.
Trade against random quotes in dice and card games. Practice expected value estimation, position sizing, and risk management under time pressure.
Arithmetic drills, sequence pattern recognition, and timed quizzes. Sharpen the mental math skills every quant interview demands.
Estimate answers to Fermi questions with confidence intervals. Scoring rewards calibration: tight hits earn more, overconfidence is punished.
Real outcomes from candidates who prepared with QuantReady. Anonymized at their request.
“The market making games were exactly the kind of practice I needed. Being able to drill expected value calculations under time pressure made a real difference in my interviews.”
Verified · anonymized
“I loved the progression from basic probability problems to stochastic processes. The step-by-step editorials helped me understand not just the answer, but the intuition behind each solution.”
PhD Candidate, Applied Mathematics
Verified · anonymized
“Coming from a CS background, I needed to quickly ramp up on probability and options pricing. The firm-tagged problems let me focus on exactly what each company asks.”
Software Engineer transitioning to Quant
Verified · anonymized
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