Consumer Credit Risk Models for CU’s

Traditional credit scoring models can limit growth and fairness. This guide explores three modern strategies for underwriting: using industry-standard models, building in-house, or partnering with an AI vendor to improve decisioning.

As consumer demographics and market conditions evolve, relying on a one-size-fits-all credit risk model is no longer enough. Lenders need strategies that improve accuracy, fairness, and efficiency to innovate responsibly and expand credit access.

This guide examines the three most common approaches to modernizing your credit decisioning, exploring their advantages and disadvantages, and more.

Download now and learn:

• The pros and cons of generic industry-standard models vs. in-house development
• Key considerations when partnering with an AI technology vendor
• Implementation timelines and resource requirements for each approach
• Critical questions to ask when evaluating your institution’s strategy

Offered Free by: Zest AI