Case Study: Leading NBFC Company reduces default rates by 50% with TheMathCompany’s customized credit risk assessment application

A Leading NBFC Reduced Default Rates by an Estimated 50% by Leveraging a Customized Credit Risk Assessment Application

Leading NBFC Company, a premier APAC-based NBFC, needed a more consistent and timely approach to credit risk assessment. Its existing rule-based process struggled with incomplete field verification data and heavy dependence on bureau data, making it difficult to assess credit applications accurately. TheMathCompany was brought in to help with a customized credit application scorecard.

TheMathCompany built a customized credit risk assessment application that unified customer data, improved data capture, and strengthened model design using ML-driven techniques. The solution enabled real-time insights, better scorecard accuracy, and faster decisions, reducing response time to within 120 seconds. As a result, the NBFC improved model prediction accuracy to 93% and reduced its default rate from 15.82% to an estimated 6.8%, a decline of nearly 50%.