How Fintech Is Using Alternative Data for Mortgage Lending

In this episode of Fintech Conversations with Fexingo, Lucas and Luna explore how fintech companies are using alternative data—like rent payments, utility bills, and bank account cash flow—to underwrite mortgages for borrowers with thin credit files. They dive into a specific case: a 2026 pilot by a major nonbank lender that uses transaction-level data to approve self-employed applicants who would be rejected by traditional FICO-based models. The hosts discuss why the mortgage industry has been slow to adopt alternative data, how regulators are responding, and what this means for the future of homeownership. Key stats include a 20% increase in approval rates for self-employed borrowers and a 15% reduction in early-stage delinquency compared to traditional FHA loans. The conversation also touches on the role of the GSEs—Fannie Mae and Freddie Mac—in standardizing alternative data usage. Tune in for a focused look at one of fintech's most impactful shifts in consumer lending. #Fintech #Mortgage #AlternativeData #ConsumerLending #CreditScoring #NonbankLenders #SelfEmployed #FICO #CashFlowUnderwriting #GSEs #FannieMae #FreddieMac #Homeownership #Business #Technology #FexingoBusiness #BusinessPodcast #FintechPodcast Keep every episode free: buymeacoffee.com/fexingo