Fintech Takes x Spinwheel presents Credit Without Constraints Episode 2: Underwriting

Mar 17, 2026

Chris Hansen, GM of Cash Atlas Solutions at Nova Credit, a cashflow underwriting and credit analytics lead. He explains how consumer-permissioned cashflow data complements traditional bureaus. Discussion covers practical entry points like second-look and CLIs, infrastructure and compliance hurdles, and how AI and data portability reshape underwriting workflows.

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INSIGHT

Monthly Furnishing Is Outdated

The U.S. credit system was built around centralized monthly furnishing cycles that no longer match modern consumer velocity.
Chris Hansen says consumer-permissioned cashflow data has fractured that cycle and forces rethinking of what bureaus would look like if rebuilt today.

INSIGHT

Cashflow Data Increases Approvals Without Raising Risk

Lenders using cashflow data are broadly approving more people at the same marginal bad rate.
Chris Hansen notes institutions are also pushing cashflow work into collections, CLIs, prequalification and portfolio monitoring to make the data institution-wide.

ADVICE

Solve Infrastructure Analytics And Compliance Together

Treat implementation as three problems: infrastructure, analytics and compliance, and align internal stakeholders across them.
Chris Hansen advises partnering with platform players to handle diverse pipes, tagging, storage and model-risk calibration.

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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.

What if the easiest point of entry isn’t the initial approval decision, but deeper in the workflow?

What if the real challenge is aligning infrastructure, analytics, compliance, model risk, product, and consumer trust around a better underwriting decision?

What if the biggest constraint holding lenders back is perfection being the enemy of progress?

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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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