Machine Learning for Credit Risk

Financial institutions need to understand how well a score predicts behavior, such as payment delinquency or bankruptcy, to make more confident lending decisions. By conducting score validations regularly, organizations can ensure they're using the latest data to optimize their lending strategies.

The results of these score validations can be affected by:

• A dynamic economic environment
• Changes in regulation
• Scorecard degradation

Download this infographic to learn more about the importance of regular score validations and how it can have a significant impact on your business.

Learn how Risk and Retention Triggers℠ can help you gain deeper insights into the health of your portfolio.

Our solutions enable you to:

• Mitigate portfolio risk
  
• Strengthen customer relationships
  
• Increase customer lifetime value

See Experian Assistant, our latest innovation in GenAI technology, in action – taking financial institutions to the next level by increasing productivity and scaling expertise. In this webinar, discover how to drive higher productivity and customer engagement, minimize time spent writing code, and improve understanding of data and attributes.

In this webinar, our expert panel discusses leveraging reject inferencing techniques to add precision and predictiveness to your custom credit scoring models.