In the consumer lending space, fintech lenders have been using AI in their underwriting models for many years. But there are still many consumers who slip through the cracks and get declined for credit when they should have been approved.

My next guest on the Fintech One-on-One podcast is Gal Krubiner, the CEO and Co-Founder of Pagaya. They work with a large number of both traditional and fintech lenders and apply their sophisticated modeling to find consumers who have been mispriced. Their two-sided marketplace then works with investors to fund these consumer loans.

In this podcast you will learn:

• The founding story of Pagaya.
• Why they decided to focus on consumer credit.
• How they are partnering with both fintech and traditional lenders today.
• Who they are working with on the investor side of the marketplace.
• The types of data they are using in their underwriting.
• How their underwriting models have evolved over time.
• How investor demand for their ABS deals is trending.
• How the US consumer is holding up when it comes to loan repayments.
• Trends in credit availability for consumers.
• Why the lack of credit availability is a good thing for Pagaya.
• The impact of rising interest rates on consumer credit.
• Why all the attention that AI is getting is helping Pagaya.
• What happened when they invited ChatGPT to their earnings call.
• How being a public company has changed Pagaya.
• How he is thinking about the macro environment in 2024.

Connect with Gal on LinkedIn
Connect with Pagaya on LinkedIn

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• Find previous Fintech One-on-One episodes