Credit Risk and Fintech Lending

Ayan Mahajan and Cristian Mandachescu

September 21, 2025

Key Takeaways

  • Basics of fintech lending: risk factors, underwriting practices, and opportunities
  • Credit risk: refers to the potential for financial loss a lender incurs if a borrower fails to repay their loan
  • Highlights the role of data in making lending decisions: the more data you have, the more informed the risk assessment
  • Importance of transparency and regulation: lenders need clear policies and oversight to avoid bad loans and abuse
  • The Fintech Lending market has substantially grown over the past decade, even surpassing traditional banks and forms of credit in terms of total loan balances

Impact of AI

  • Improving AI can make underwriting faster and more accurate: it can better predict borrower risk and make decisions accordingly
  • AI will not replace credit risk lenders, but instead will be used as a tool to improve lending and risk valuation

One idea you may have not considered

  • While math and data is very important at lower levels, much of the credit risk lending at the higher levels depend more on judgement
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