Reduced Loan Delinquency Via Effective Alert And Tracking Framework

A small lending firm in the United States was looking to implement a solution that would allow the firm’s underwriting team to accurately predict if and when a customer may turn delinquent – 30 days before defaulting.

USEReady architected and designed a risk framework predictive model. The model was built on 30 variables and classified applicants into predefined risk buckets. The ultimate objective of the model was to reduce the losses incurred by the firm because of delinquent customers.

Deep dive through this case study to learn how USEReady’s solution improved the firm’s ability to approve loans to customers, effectively track loans, and focus on loans that may turn delinquent.