How do lending fintechs manage credit risk with limited data?

Lending fintechs manage credit risk with limited data by using alternative data sources such as transaction history, utility payments, social media activity, and even psychometric analysis. They leverage machine learning and AI algorithms to analyze these unconventional data points, providing a more comprehensive risk assessment. Additionally, fintechs often use dynamic models that adapt over time, improving their predictions as more data is gathered. These methods allow lending fintechs to offer loans to underserved borrowers while managing credit risk more effectively.

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