Discussion question for trading and research roles.

When to stop looking

Hard

The question

You interview n candidates in random order, learn only relative ranks, and must accept or reject each immediately. How do you maximise the chance of hiring the best one?

Have a go before you open the solution. If you are stuck after a few minutes, the first paragraph below is usually enough of a nudge.

Show the worked solution

The answer

Reject the first n/e, then take the next candidate better than everyone seen. Success probability about 37 percent.

Consider the family of strategies that observes the first r candidates, then accepts the next record-setter.

The probability this picks the best is roughly (r/n) times ln(n/r), which is maximised when r/n = 1/e.

At that cutoff the success probability is 1/e, about 0.368, and it does not decay as n grows, which is the surprising part.

The practical reading matters in interviews: a fixed fraction of your search should be spent calibrating with no intent to commit.

What it is testing

Whether you can parametrise a strategy class before optimising.

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