Final Seat Dilemma
Probability last person gets own seat is a medium quant interview question on Conditional Probability, reported to have been seen at Citadel and IMC.
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This classic puzzle is about conditional probability in a sequential setting where earlier random decisions affect later outcomes. It looks complicated because there are many passengers and possible seat choices, but the structure hides a very simple underlying pattern. Quant interviewers use it to see whether you can cut through apparent complexity and spot symmetry and invariance in a random process.
It trains your ability to model sequential randomness efficiently, to identify key states that fully describe the system, and to reason about conditional events without getting lost in combinatorial explosions. You practise turning a story into a clean probabilistic model, recognizing when a process effectively resets, and focusing on the events that actually change the outcome.
This matters for quant interviews because market models, order books, and trading strategies all involve path-dependent randomness and evolving information. Successful quant prep requires being able to track only the variables that drive payoffs and risk while ignoring irrelevant detail. Mastering puzzles like this signals that you can build and simplify probabilistic models, reason clearly about uncertainty, and communicate non-intuitive results, which is exactly what front-office quant, research, and trading roles demand.
What it tests
This problem class is governed by the principle of invariance and symmetry in sequential random processes with absorbing states. When a process involves repeated random choices that only matter when a specific set of outcomes occurs (like a seat being chosen), the structure often reduces to tracking a small set of critical outcomes—here, which of two special seats is chosen first. The process is memoryless in the sense that, after each random choice, the situation resets with the same probabilities for the remaining critical outcomes. This is because at every step where a random choice is required, the probability distribution over the remaining possibilities is uniform, and the process only ends when one of the absorbing outcomes (your seat or the first seat) is selected. The symmetry between the two outcomes means their probabilities must be equal, regardless of the number of intermediate steps.
Practise this question with written feedback, or hear it in a spoken mock interview.
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