Market Pulse

What’s Next for Mortgage Lending, with Freddie Mac


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Jennifer Henry of Equifax sits down with Christina Randolph of Freddie Mac to discuss how lenders can drive efficiency, improve data quality, and build resilience through digitization and automation. From reducing origination costs to leveraging tools like Loan Product Advisor, AIM, and verified income data, the conversation offers practical insights to help lenders prepare for the next market cycle while delivering a better borrower experience.

In this episode:

How are lenders improving efficiency in today’s housing finance market?
Lenders are improving efficiency by digitizing and automating key steps in the mortgage process, including underwriting, income and employment verification, and data validation. Tools that reduce manual documentation help lower origination costs, shorten cycle times, and improve consistency across fluctuating market conditions.

What does resilience mean in the mortgage and housing finance ecosystem?
Resilience means a lender’s ability to perform consistently across economic cycles by managing risk, maintaining data quality, and using technology that scales with volume changes. A resilient mortgage operation is prepared for both market slowdowns and rapid growth without sacrificing loan quality or borrower experience.

Why is loan data quality critical for mortgage lenders and investors?
Loan data quality is critical because inaccurate or incomplete data increases defects, repurchase risk, and operational costs. Verifying income, employment, and assets earlier in the loan lifecycle helps lenders deliver cleaner loans, meet investor requirements, and reduce downstream risk.

How can digital income and employment verification reduce mortgage costs?
Digital income and employment verification reduce costs by eliminating manual document collection and repeated reviews. Lenders using automated, source-verified data can save hundreds to thousands of dollars per loan, reduce cycle times by several days, and significantly lower the likelihood of income-related defects.

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