You’re likely to get hit with a lot of questions: How come you reported less on your tax returns than what you’re claiming as your income on your loan application? You may also get charged more in fees, take longer to get approved and end up with a slightly higher interest rate on your loan.
Lenders do this because self-employed earnings for mortgage eligibility purposes can be squishy, and there’s a lot riding on accuracy. If they approve a loan that turns out to be based on inflated or ineligible self-employment income, they can be hit with severe penalties. If they sold your mortgage to an investor, which is commonplace, they could be forced to buy it back.
But major improvements are underway: As of last week, the two largest sources of mortgage money in the United States — investors Freddie Mac and Fannie Mae — have deployed remarkable new technology that automates underwriting for applicants who are self-employed or have significant side income. Applications that previously would have taken days to analyze and verify may now take just minutes, thanks to the use of “optical character recognition” (OCR) technology that reads tax returns, identifies what qualifies as eligible income and integrates it into both companies’ electronic underwriting systems. Dallas-based tech company LoanBeam supplies the OCR solution in both cases. Freddie Mac notified its thousands of lenders of the change March 6; Fannie Mae introduced its program in December.
Instead of an underwriter having to plow through wads of tax documents, lenders can now upload the paperwork directly to LoanBeam, where it will be scanned and analyzed within minutes, saving time and money for borrowers and lenders alike.
Andy Higginbotham, a Freddie Mac senior vice president, told me the new system “takes three to five days out of the process,” can cut hundreds of dollars in costs and slashes risk for the lender. If Freddie’s automated underwriting system approves the application with the LoanBeam-verified income, Freddie will not hold the lender responsible for inaccuracies that pop up later. Fannie Mae’s system does the same.
The move to automation could have wide effects. In 2016, the Bureau of Labor Statistics reported that there were about 15 million self-employed individuals in 2015, one of every 10 people in the workforce. A tax-preparation industry estimate indicated that more than one-third of workers earned income from “gig-economy” sources in 2015 — such as driving for Lyft or renting out a house via Airbnb — and that the total will exceed 40 percent by 2020.
Lenders say Freddie’s and Fannie’s improvements could have benefits for home buyers, sellers and realty agents that may not be immediately obvious.
Josh Moffitt, president of Silverton Mortgage, based in Atlanta, says that having absolute certainty about income eligibility up front should give buyers greater confidence as they shop for a home. And it could help dramatically in meeting contingency-clause financing deadlines in contracts, eliminating situations where underwriters are still struggling with verifying income days or hours before a contingency expires.
John Meussner, executive loan officer for Mason-McDuffie Mortgage in San Ramon, Calif., says streamlined underwriting should also eliminate a lot of confusion — and conflict — between applicants and lenders. Currently, there is often a huge disconnect between “what self-employed borrowers THINK they make versus what they actually make” under mortgage-industry rules, he said in an email. “Many people still fail to realize they can’t write off income in tax returns and then use that written-off income as qualifying income for a mortgage.”
Bottom line: If you’re self-employed or have gig income, be aware of the changes. Since the programs are new, not all lenders may offer streamlined income verification yet, but if they’re on the ball, they soon will.