This question evaluates a data scientist's competency in credit portfolio risk identification, quantitative stress testing, concentration analysis, and designing mitigation strategies using loan-level data and scenario analysis.
You are evaluating a commercial/corporate lending portfolio. Assume you have loan-level data with: obligor ID, sector/industry, region, facility type, exposure at default (EAD), probability of default (PD, 12m), loss given default (LGD, downturn), maturity, collateral type and loan-to-value (LTV), rate type (fixed/floating), coupon/spread, covenant quality score, rating, and historical performance. You can run simple stress scenarios (e.g., GDP −2%, rates +300 bps, CRE prices −20%).
No raw dataset is provided; make reasonable, clearly stated assumptions. Use small numeric examples to justify your decisions.
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