Your lending model only ever learns from applicants it approved. How do you break the feedback loop?
You observe repayment only for applicants you approved, so your training data is censored by your own past policy and your offline test set is censored the same way. The fix starts with something you must have logged years ago.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
You observe repayment only for applicants you approved, so your training data is censored by your own past policy and your offline test set is censored the same way. The fix starts with something you must have logged years ago.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
