赋能下一代消费金融

Medium, JC Bahr-de Stefano | 31 年 2023 月 XNUMX 日

Building the next decade of consumer finance

• Last week in Las Vegas, I had the great pleasure of moderating a panel at Fintech Meetup re: building the next decade of consumer finance by leveraging real-time data and cash flow forecasting. I wanted to share some of the key insights shared during the session by our amazing panelists, Jose Bethancourt (Co-Founder of Method Financial), Ema Rouf (Co-Founder of Pave.dev), and Zane Salim (Co-Founder of Atlas)!

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• 1/ Alternative data augments FICO across the entire credit spectrum — this is about FICO+ NOT replacing FICO.
  • problem of credit invisibility in the US is growing, with an estimated 28 million adult Americans credit invisible and 21 million unscorable. To make decisions about these consumers and offer them financial services and products, alternative data, such as income and employment, can be used. This data can also help lenders make better risk-weighted decisions for many segments of users, not just credit invisible ones, and is particularly important during periods of economic stress.
• 2/ Real time data powers better products and outcomes by enabling greater access and improving the quality of risk management.
  • Credit bureaus can take up to 45 days to report data, so lenders may not have the most up-to-date information on a borrower’s behavior. Atlas, a payroll-powered credit card, uses real-time data to monitor users’ financial health and adjust credit limits, allowing for better risk management and loss prevention.
• 3/ The movement to make alternative data mainstream has to happen outside of the credit bureaus.
  • Credit reports do not provide a complete view of a consumer’s debt obligations as there is a lot of data that is not furnished to the credit bureaus, including most BNPL loans. However, companies like Method collect data from over 60k institutions to provide lenders with a more comprehensive view of a person’s debt obligations, combining data from credit bureaus with financial institutions’ core banking systems.

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• 4/ Recent innovation in infrastructure has made this data far more accessible than it has been in the past.
  • Recent advancements in infrastructure and tools have made it easier to access and enrich the data. Companies such as Method and Pave are providing infrastructure that helps fintechs and banks adopt and use this data, leading to accelerated adoption.
• 5/ Mature lenders don’t want scores, they want raw data or attributes.
  • Understanding the data is crucial for them to explain it to originating banks or capital providers, and the use of attribute generation can speed up model development. Pave is an example of a company offering transaction cleaning, enrichment, and their own attributes toolbox for lenders to use in their proprietary models.

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