Client: Largest non-bank cash advance services provider
Industry: Consumer Lending
Challenge: Improve fraud detection without damaging customer experience
Approach: Tailored machine learning fraud model
Results: A fraud model that was 78% more effective than the leading prebuilt fraud scorecard