Interviewers ask this kind of question to surface how you think, not what you remember. The strongest answers are specific, calmly told, and end on what changed.
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An AI model your team relies on flags a stock as a strong buy, the PM sizes into it, and it later turns out the model was trained on stale or leaked-forward data that made the signal look better than reality. Clients lost money. Who owns this, and how do you handle it?
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