Improved Applicant Evaluation Process Through Effective Risk Model Frameworks

A small lending firm in the United States was looking to implement a solution that would allow the firm’s underwriting team to predict if and when a customer may turn delinquent and to further improve the accuracy within the profiling process and boost workforce productivity.

USEReady architected and designed a risk framework predictive model. The model considered 25 different variables and provided recommendations to the underwriter on whether the applicants should be – “Approved”, “Further Reviewed” or “Declined”.

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.