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Game Theory Interview Questions

Game theory is the study of optimal play when your payoff depends on what a rational adversary does next. In quant interviews it shows up as combinatorial games (Nim, counting-to-N, parity puzzles solved by backward induction), strategic equilibria (Nash, mixed strategies, iterated dominance), aucti

56 Problems 1 Easy 29 Medium 26 Hard
A curated set of 56 game theory problems drawn from our bank — the kind that actually shows up in quant interviews, rewritten for clarity with worked solutions we author ourselves. We never claim a wording is verbatim. 13 are free to open and fully solve.

How to think about game theory questions

Most game-theory puzzles look like clever one-offs, but they all ask the same question: where does play settle when both sides are smart? The answer is a strategy profile so stable that no one gains by deviating — and once you learn to hunt that fixed point, coin-guessing duels, Nim piles, and auctions stop feeling like tricks.

FIND THE STABLE PROFILE

A Nash equilibrium is the spot where every player is already best-responding to everyone else, so no one's incentive points away from it. In sequential games you reach it by backward induction — solve the last move first and fold the value back; in matrix games you scan for the cell that is best down its column and across its row.

MIX TO INDIFFERENCE

When no pure profile is stable — matching pennies, bluffing, guessing a flip — the equilibrium goes mixed. The unlock: randomize so your opponent becomes exactly indifferent among their options, because only then can their own mix be optimal. You don't solve for your payoff; you solve for the probabilities that flatten theirs.

Work this set top to bottom and one move recurs — assume your opponent is as sharp as you, then find the profile neither of you wants to leave — until reaching for the equilibrium becomes reflex.

Game Theory questions (56)

Game Theory interview questions FAQ

What kind of game theory questions show up in quant interviews?

This page collects 56 game theory problems that recur in quant trading and research interviews, each with a full worked solution and the intuition behind it. They range from quick warmups to the harder variants firms use to separate candidates.

How hard are game theory interview questions?

The set spans 1 easy, 29 medium and 26 hard problems. Most sit at medium difficulty — a few minutes of clean reasoning — with a harder tail that rewards knowing the canonical approach rather than grinding.

How should I practice game theory for quant interviews?

Work through them by difficulty, starting just below your level, and write the solution out before checking. 13 are free to open with the full worked solution, so you can judge the quality first. Focus on the recurring patterns rather than memorizing answers — the same handful of ideas generate most variants.

Are these real quant interview questions?

They are a curated set drawn from our problem bank — the kind of game theory question that actually appears in quant interviews, rewritten for clarity with solutions we author ourselves. We don't claim any single wording is verbatim, and every problem carries a full solution.

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