Client: Consumer finance company offering merchandise leasing programs
Industry: Consumer Finance
Challenge: Improve underwriting without using credit data
Approach: Improve identity verification and develop tailored machine learning fraud model
Results: A new underwriting process that was 40% more effective at capturing defaults than their existing process