Bob's Probability Sweet Spot

Bob optimal coin probability interval is a medium quant interview question on Conditional Probability, reported to have been seen at Optiver.

Difficulty Medium Topic Conditional Probability Reported at Optiver

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This quant interview question is about conditional probability and expected value in a two-player game where choices are probabilities rather than discrete actions. It embeds probability inside strategic decision-making: each player tunes a parameter that shapes the distribution of outcomes, and the payoffs depend on the joint result. For quant prep, this is classic "probability as a control variable" rather than a static description of randomness.

It trains translating a verbal game into a payoff function, computing expected value as a function of the decision variable, and then identifying the region where a player has positive edge. It reinforces comfort with products of independent events, sign analysis, and interpreting solution sets as intervals in parameter space rather than single points.

This matters for quant interviews because trading, market making, and risk management often hinge on identifying favorable regions of parameter space, not just single optimal values. Such questions test whether candidates can quickly formalize incentive structures, reason about edge, and assess robustness of strategies under changing probabilities. For quant interviews across trading firms and hedge funds, this style of conditional probability game is a core benchmark of readiness.

What it tests

Whenever a game involves players choosing probabilities to influence outcomes, the core structure is to model the expected value as a function of those probabilities. The expected value is a weighted sum where each outcome's probability (determined by the chosen probabilities) multiplies its payoff. The key is that, for any player, the expected profit is a linear (or at most quadratic) function in their own probability, once the other player's choice is fixed. This linearity arises because the outcome probabilities are products of independent choices, and the payoffs are constants. The threshold where expected profit changes sign (from negative to positive) is found by solving a simple inequality, reflecting the point where the player's choice tips the balance of the game's fairness.

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