Betting Games Quant Interview Prep
How to solve betting game questions in quant interviews with expected value, sizing, risk, and stopping logic.
Candidates preparing for wagers, odds, and fair-game questions.
What betting games test
Betting games test expected value, risk, constraints, and decision quality. A positive expected value bet can still be a bad size if bankroll, variance, or game rules make ruin likely.
Concrete example
If a coin pays 2 dollars on heads and costs 1 dollar to play, the expected profit is 0.5 dollars per toss. If you can only play once with your entire bankroll at risk, sizing and utility matter more than the simple expected value.
How to practice
For each game, compute fair value first. Then discuss variance, limits, repeatability, and how much you would bet. This mirrors trading interviews, where being right on average is not enough if the risk process is broken.
Common mistakes
Candidates answer only "take the bet" or "do not take it" without discussing size. Another mistake is ignoring optional stopping or hidden constraints in the rules.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.