Welcome to Credit Without Constraints, a new four-part podcast miniseries from Fintech Takes, presented with our friends at Spinwheel.
The series orbits around one core challenge: how do we make the best possible credit decisions for the benefit of both the consumer and the lender?
We’re living through an abundance era for credit data. Today’s challenge is getting the most value out of that abundance.
In Episode 2, my cohost Tomás Campos (Co-founder and CEO of Spinwheel) and I sit down with Chris Hansen, GM of Cash Atlas Solutions at Nova Credit.
We start with the U.S. credit data system itself (built around a monthly furnishing cycle that made sense at the time). From there, we get specific about what consumer-permissioned cashflow data actually changes in practice.
Lenders are using it to approve more people at the same marginal rate, but the use cases run deeper: second look, pricing and terms, credit line increases, collections, prequalification, and continuous portfolio monitoring (to name a few).
Now’s the time to think more carefully about how these data sources work together.
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What if the easiest point of entry isn’t the initial approval decision, but deeper in the workflow?
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What if the real challenge is aligning infrastructure, analytics, compliance, model risk, product, and consumer trust around a better underwriting decision?
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What if the biggest constraint holding lenders back is perfection being the enemy of progress?
Subscribe now to catch what’s next.
Spinwheel helps financial innovators instantly verify and act on consumer credit using just a phone number and date of birth. Real-time, consented credit data and embedded payments—no passwords, no friction.
Learn more at https://spinwheel.io
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YouTube: https://www.youtube.com/channel/UCJgfH47QEwbQmkQlz1V9rQA/videos
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Follow Tomás:
https://www.linkedin.com/in/theinnovativeone/
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