Quant Research
Quant researchers design and test the statistical models and trading signals that a fund's strategies run on — mostly data analysis, hypothesis testing, and probability, done in code.
Bayesian reasoning, conditional probability, and the statistical intuition quant research interviews probe hardest.
Games for this track
Fair coin, or biased?
Bayesian Updating
Start at a 50/50 prior, observe a sequence of flips, and update to the correct posterior probability.
Relevance ★★★★★
Monty Hall and friends.
Conditional Probability
The probability questions people actually get wrong: conditional probability, Bayes, cards without replacement, Monty Hall.
Relevance ★★★★★
How much of your bankroll?
Kelly Criterion
Given an edge and the payout odds, compute the Kelly-optimal fraction of your bankroll to bet.
Relevance ★★★★★
Correlation isn't causation.
Data Intuition
Short scenarios testing statistical intuition: confounders, sample size, R², and the causation trap.
Relevance ★★★★★
Which bet actually pays more?
Optimization Challenge
Two bets, one choice. Compute the expected value of each and pick the one that actually maximizes it.
Relevance ★★★★★
What comes next?
Sequence Recognition
Arithmetic, geometric, square, and Fibonacci-style sequences. Spot the rule and enter the next number before the streak breaks.
Relevance ★★★★★
Is it worth paying to know?
Information Value
A bet, and a price to learn the outcome in advance. Decide whether the information is worth more than it costs.
Relevance ★★★★★