Top 3 Fraud detection Interview Questions
Browse 3 real-world technical and behavioral interview questions about Fraud detection. Review scenarios, edge cases, and architectural best practices.
Your fraud score holds up a claim from a customer of eleven years, the investigation finds nothing, and settlement is six weeks late. What did that cost you, and what should the design have done differently?
It cost a customer, a complaint, and a training example you have mislabelled as clean. The fix is to keep the score ranking an investigation queue rather than gating a payment, to time-box every referral with an interim payment path, and to record why a referral was cleared instead of merely that it was.
One transaction in two thousand is fraudulent and you have been asked to build the detector. How do you approach it?
Work backwards from the review capacity. Fix the alert budget the team can clear, evaluate precision and recall at exactly that budget on data at the real prevalence, define the label and its arrival delay before modelling, and never report accuracy, which a do-nothing model scores 99.95% on.
How would you detect insurance fraud, and how is detecting it at claim different from detecting it at application?
Insurance fraud detection differs at application and claim. Application fraud checks declared risk data at quote time; claim fraud combines claim scoring, entity resolution, network analysis and investigator queues sized to SIU capacity.