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 →Given an integer array, find the contiguous subarray with the largest sum and return that sum.
def max_subarray(nums): best = current = nums[0] for value in nums[1:]: current = max(value, current + value) best = max(best, current) return best
Solve probability, coding, finance, and brainteaser problems with a real editor, hidden tests, and step-by-step editorials.
Given an integer array, find the contiguous subarray with the largest sum and return that sum.
def max_subarray(nums): best = current = nums[0] for value in nums[1:]: current = max(value, current + value) best = max(best, current) return best
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?
Submit an answer or let the timer expire to continue to the next question.
Practice expected value, quoting, spread discipline, and risk management through dice, cards, and Fermi estimation games.
Bid
11.8
Ask
13.2
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.
Suggested pace: about 7 days. Each step is tied to public sources for Optiver.
Train quick problem solving and mental math
Official + reports
Practice strategy games under time pressure
NextOfficial + reports
Take a timed mock interview
Official + reports
Simulate a multi-round, firm-matched interview: timed problems, plus mental math and market-making rounds where firms use them. Then review a per-round score report.
73%
Score
2 / 2
Rounds played
63m
Total time
Per-round breakdown
Round 1: Problem Round
3 problems, 20 min each
78%
Round 2: Market Making
4 quotes, 60s each
68%
Score is the average of your round scores above.
Sit a timed, role-based online assessment before a firm makes you sit one: section clocks, penalty scoring, and forward-only navigation, modeled on candidate-reported OA structures.
Question 7 / 12
A virtual function is called inside a base-class constructor. What happens?
Fourteen 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 →Nash equilibria, auctions, bargaining, and mechanism design.
Start learning →C++ internals, atomics, caches, virtual memory, and low-latency networking.
Start learning →Not just another problem bank. Every feature exists because real interviews are hard and preparation needs to match.
Practice in Monaco with Python 3 or C++17, 20, or 23, real execution, hidden tests, and interview-style time and memory limits.
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.
Spot mispriced 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.”
Customer outcome · 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
Customer outcome · 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
Customer outcome · anonymized
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