Your question is Data-Driven Insights for Credit Risk. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Given a dataset, what insights would you generate to improve our current credit risk strategy? Explain how you would assess data quality, define the primary risk KPIs, segment the portfolio, and identify the drivers of delinquency or loss. Describe the analyses you would perform, the actions you would recommend, and how you would measure whether those actions improve outcomes.
Available data may include account attributes, balances, payment history, delinquency status, credit limits, utilization, transactions, customer tenure, and prior risk decisions.