Case Study: a top US financial institution improves underwriting and risk discrimination with EXL Transaction Insights

EXL transaction insights improves underwriting for a US lender

EXL worked with a top US financial institution that wanted to use bank transaction data to improve underwriting, approval rates, and credit performance. The challenge was extracting meaningful insights from unstructured transaction data and turning them into smart variables for better risk decisions.

Using EXL Transaction Insights, EXL categorized 90%+ of transactions into 150+ categories, generated 1,000+ predictive attributes, and built a credit default model incorporating bank transaction intelligence. The solution delivered a 15% improvement in risk discrimination and a 10-15% increase in systematic decision rate, while also helping with loan amount assessment, ongoing monitoring, early warning triggers, and collections.