Common Quant Interview Topics
The common quant interview topics candidates should prepare: probability, expected value, statistics, mental math, market making, coding, and communication.
Candidates mapping the quant interview prep landscape across trading, research, developer, and internship roles.
Probability and counting
Probability is the most portable quant interview topic. Prepare sample spaces, complements, conditioning, Bayes, combinations, permutations, random walks, and expected counts. The important skill is choosing a model before calculating.
Expected value and decisions
Expected value questions ask what uncertain payoffs are worth. In trading interviews, they often become fair prices, bets, or sizing decisions. Pair the calculation with risk, variance, and constraints.
Statistics and evidence
Statistics topics include distributions, variance, covariance, correlation, sampling, regression, and backtest critique. Research interviews especially reward candidates who can separate evidence from noise.
Mental math, games, and coding
Trading roles often add mental math and market making games. Research and developer roles often add coding, simulations, data structures, or data analysis. The mix depends on role, so prep should not be one-size-fits-all.
Concrete prep map
A broad weekly plan can include probability, expected value, statistics, one role-specific block, and one communication or mock block. Use diagnostics to decide which topic deserves the most time.
Common mistakes
Candidates often prepare only famous puzzles or only coding. Common topics are a coverage map, not a checklist to split evenly. Spend more time where your error log shows repeated misses.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.