Client finances billions of loans funded annually, processing millions applications
Existing risk model used a single severity factor ($ charge-off/unit % charge-off rate) across the population
However, actual behavior indicated >80% variation in severity factor across all 10 segments of decision
Objective
Assess the potential of building a model in the approval process to predict the collateral value of an application and identify segment level Severity factor for more accurate $ loss rate prediction
