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HBO and The Ringer's Bill Simmons hosts the most downloaded sports podcast of all time, with a rotating crew of celebrities, athletes, and media staples, as well as mainstays like Cousin Sal, Joe House, and a slew of other friends and family members who always happen to be suspiciously available.
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Recorded live at MBA Annual 2025, HousingWire CEO Clayton Collins talks with Joel Rickman, SVP of Verification Services/Workforce Solutions at Equifax, and Justin Demola, President of Lenders One, about the ripple effects of FICO’s new pricing model, the rise of VantageScore, and how smarter lending data can drive efficiency, affordability, and innovation across the housing market.
In this episode:
Why is the FICO vs. VantageScore discussion so important right now?
The FHFA’s move to accept VantageScore opened the door for more competition and potential savings. While some lenders worry about cost increases, experts explain how competition is already driving innovation and pricing transparency—helping lenders better serve homebuyers.
How are Equifax and other bureaus responding to these market shifts?
Equifax, Experian, and TransUnion have each added new data benefits within existing pricing structures. At Equifax, that includes embedding income and employment data into credit reports to reduce costs and improve decision accuracy. The goal: help lenders make smarter, faster, and fairer lending decisions.
What role does Lenders One play in shaping this change?
Lenders One represents over 230 independent mortgage bankers, providing cooperative buying power and technology tools. By building its own credit-reporting platform and partnering with bureaus like Equifax, Lenders One helps members gain flexibility, lower costs, and optimize workflows.
How can lenders create efficiency in loan manufacturing?
The guests stress “buy what you need, when you need it.” That means pulling the right data at the right stage of the loan, automating income verification later in the process, and using analytics to predict fallout rates—reducing unnecessary costs while keeping accuracy high.
66 episodes
