NEW YORK--(BUSINESS WIRE)--Argyle, a payroll connectivity platform for modern financial services, today announced that mortgage lenders using Desktop Underwriter® (DU®) can choose Argyle’s Income & Employment Verification solution to get Day 1 Certainty®, the existing relief from representations and warranties on validated data, through Fannie Mae. Argyle is the first authorized report supplier to offer automated income and employment verification reports based on consumer-permissioned, direct-source data. Argyle’s integration with Fannie Mae’s DU validation service will be live at the end of this month (October 2023).
Fannie Mae’s DU validation service was established to simplify mortgage lending, optimize how borrower data is shared and verified, and cut needless risk and paperwork out of the equation. Argyle’s integration with DU boosts confidence and eases workloads on both sides of the loan origination process. For borrowers, it means a lower-friction application and a better overall experience. For lenders, it means more efficient and informed verifications, faster close times, and existing relief from representations and warranties.
As the first consumer-permissioned income and employment verifications provider to offer an authorized report, Argyle simplifies the lending process, providing accurate and reliable data to mortgage providers at a fraction of the cost. Argyle’s real-time income and employment data yields more comprehensive coverage, higher conversion rates, lower verification costs, and a more reliable view of borrowers’ financial health.
“Becoming an authorized report supplier highlights our commitment to transforming income and employment verification through the highest standards of accuracy, security, and compliance,” said Argyle CEO, Shmulik Fishman. “We look forward to bringing Fannie Mae’s Day 1 Certainty to more lending partners, and supporting our current clients with a streamlined mortgage process for both consumers and lenders.”
“At Fannie Mae, we continue to focus on improving the digital mortgage experience,” says Peter Skarnulis, Fannie Mae’s VP of Single-Family Digital Management Solutions. “This is another opportunity for lenders to automate income and employment data verification, which can make the mortgage process more efficient for both lenders and borrowers.”
With Argyle, lenders eliminate reliance on applicant-provided income documentation, which is prone to falsification and fraud. Argyle securely retrieves borrower data, paystubs, and W-2s directly from payroll providers and employer sources, which reduces overall credit risk in loan underwriting while providing borrowers with fast, frictionless verifications.
To learn more about the Argyle advantage, please visit www.argyle.com.
About Argyle
Argyle is the payroll connectivity platform for modern financial services, providing fast, cost-effective, consumer-permissioned access to the most trusted network for real-time income and employment data. With Argyle, brand leaders across mortgage, banking, lending, the gig economy, and background checks automate verifications, fund accounts, switch direct deposits, advance wages, improve loan conversion rates, reduce cost, mitigate risk, scale their businesses, and build exceptional experiences for their customers.
Founded in 2018, Argyle has raised over $77.6 million in capital and is backed by top investors including Bain Capital Ventures, Bedrock, Checkr, F-Prime, and SignalFire. Argyle’s coverage of U.S. consumers is superior to the three largest credit bureaus at 85% of the U.S. workforce, offering up to 80% lower verification costs, and delivering hit rates higher than other data providers. Argyle has been recently recognized by Fintech Nexus as an Emerging Fintech Innovator, Forbes as one of America's Best Startup Employers, Tearsheet as the Best Alternative Data Product, and Fintech Futures as a 2023 Fintech Startup of the Year.
For more information on Argyle’s industry-leading platform, please visit www.argyle.com. To stay up to date on all Argyle news, sign up for our newsletter here.
