New credit models loosen mortgage approval rules

Younger Americans, particularly Gen Z, have significantly improved their credit profiles since before the Covid-19 pandemic, with FICO reporting a 17-point rise in average scores for 18-to-29-year-olds. This boost was largely fueled by the student loan payment pause during the pandemic's early stages and a growing financial savvy among younger generations, who increasingly recognize the importance of good credit for future milestones like homeownership, as noted by LendingTree's Matt Schulz.

Mortgage lenders are embracing advanced credit scoring models such as FICO 10T and VantageScore 4.0, which utilize trended credit data to provide a more nuanced, longitudinal view of borrower behavior beyond traditional snapshots. Industry experts like Anthony Hutchinson emphasize the importance of integrating both models to leverage their respective strengths across borrower segments and lending stages, while balancing factors like cost, technology readiness, and regulatory acceptance to optimize credit decision-making.

Incorporating alternative data—rental payments, utility bills, telecommunications records, and consumer-permissioned banking information—allows lenders to better assess risk for thin-file or nontraditional borrowers, including gig workers. Susan Allen clarifies that this approach is not about accepting more risk but recalibrating risk assessment to reflect modern financial behaviors, which can modestly increase approval rates by 1-2 percentage points, a meaningful gain given the high costs of mortgage prospect acquisition, as highlighted by TransUnion's Matias Peterson.

The mortgage industry is responding to consumer and regulatory pressure to modernize credit reporting standards by incorporating alternative data, with studies showing that one in three prospective homebuyers would abandon lenders relying solely on outdated models that exclude rent and utility payments. Experts predict that updating credit scoring could improve scores for up to 7.7 million Americans, better capturing the realities of gig economy income and nontraditional financial habits, a shift strongly advocated at recent industry conferences.

Government-backed loan programs such as FHA, VA, and USDA offer crucial pathways for borrowers with lower credit scores or limited savings to access mortgage financing, often featuring more flexible eligibility criteria than conventional loans. For instance, FHA loans accept credit scores as low as 500 with a 10% down payment, while VA loans, backed by the Department of Veterans Affairs, typically have no set minimum credit score and require no down payment or mortgage insurance but are restricted to military-affiliated borrowers. USDA loans stand out by having no minimum credit score requirement, though applicants with scores below 640 must undergo additional verification and are limited to certain rural areas and income brackets.

FHA loans, in particular, have become a cornerstone for buyers with limited savings or lower credit scores by allowing down payments as low as 3.5% for those with credit scores above 580, thanks to the FHA’s insurance that reduces lender risk and enables more lenient credit and down payment standards compared to conventional mortgages. However, this accessibility comes with trade-offs, including mandatory mortgage insurance premiums that add to monthly costs, and strict property requirements such as owner-occupancy and passing an FHA appraisal to ensure health, safety, and structural standards are met.

While credit scores remain a key factor in mortgage approval, lenders also weigh other financial indicators like income, debt-to-income ratio, employment history, and down payment size, which can enhance approval chances for lower credit borrowers. Notably, FHA borrowers with credit scores between 500 and 579 face higher down payment requirements of at least 10%, and some lenders impose additional restrictions known as overlays, reflecting a nuanced balance between expanding access and managing risk.

Since the post-crisis era, mortgage lending standards have tightened dramatically, demanding near-perfect credit histories that favor borrowers with long credit records and financial cushions. This shift has led to a 13.3 percentage point drop in mortgage originations among moderate-credit borrowers (scores 600-699) from 2005 to 2024, while originations to those with scores above 700 surged by nearly 25 percentage points. As Adam Staveski from Pew explains, credit scores inherently reward age, income, and wealth, which systematically disadvantages younger, moderate-income, and minority applicants despite many being creditworthy.

While these stringent underwriting standards have contributed to historically low default rates—now just 4%-5% among delinquent borrowers compared to 55% in the early 2000s—they have also excluded millions of qualified Americans from homeownership. Notably, the average credit score among new mortgage borrowers hit a record 742 in 2024, 29 points above the national average, even as the mortgage market carries less default risk than at any time in three decades. This paradox highlights a system prioritizing risk reduction over access, disproportionately locking out younger buyers, rural families, and Black and Hispanic households who often have moderate credit scores but improved repayment profiles thanks to federal loss mitigation tools.

The exclusionary effects of tightened mortgage standards are starkly reflected in the dramatic decline in originations to moderate-credit borrowers, which fell 73% from 1.08 million in 2000 to just 293,000 in 2024. This contraction cannot be explained by improvements in the population’s credit profile, as consumer credit scores have actually improved and delinquencies eased. Yet, the Mortgage Credit Availability Index has dropped to a six-month low, further shrinking access for moderate-credit borrowers and exacerbating disparities for groups like Black and Hispanic borrowers—37.5% and 26.9% respectively—who disproportionately fall into the 600-699 credit score range.

The resumption of student loan payments has precipitated sharp declines in credit scores, exposing deep financial vulnerabilities among borrowers well before formal defaults materialize. According to the New York Fed, a new 90-day delinquency can slash credit scores by up to 171 points for superprime borrowers and 87 points for subprime, with recent defaulters’ average scores plunging from 567 to 476 between late 2024 and 2025. This lag between the initial budget shock and official default creates a 'shadow default' period, during which over 17% of borrowers had already fallen 90 days past due by early 2025, signaling mounting distress not yet fully captured in default statistics.

Beyond student loans, the repayment restart has triggered cascading financial stress across multiple credit categories, complicating mortgage approvals and revealing fragile household balance sheets. Nearly 40% of recent student loan defaulters were delinquent on auto loans, 56% on credit cards, and 20% on mortgages, underscoring how the renewed payment obligations strain borrowers’ overall creditworthiness. This interconnected credit deterioration suggests that lenders face heightened risks as they evaluate mortgage applications from borrowers grappling with simultaneous delinquencies.

By 2026, mortgage lenders have increasingly embraced non-QM loan programs to serve borrowers sidelined by conventional underwriting, with Carrington Mortgage Services lowering FICO score requirements to 550 for certain alternative documentation loans. This expansion has driven non-QM securitizations to $78 billion in 2024, accounting for a significant portion of the $182 billion non-agency RMBS market, despite impairments rising to 6.27%. Industry leaders like Eric Bernstein emphasize that this growth reflects catching up to unmet demand rather than reckless risk-taking, signaling lender and investor confidence amid evolving market dynamics.

Mortgage lenders are navigating the complexity of integrating advanced credit scoring models such as FICO 10T and VantageScore 4.0, which incorporate trended data to better capture borrower behavior over time. While these models promise improved risk assessment, operational challenges abound, including balancing costs, technology readiness, and investor acceptance, as noted by experts like Anthony Hutchinson and Justin Demola. Moreover, alternative data sources—ranging from rental payments to gig economy income—are increasingly leveraged to refine credit evaluations, with Susan Allen highlighting the need to 'see risk differently' for consumers with thin traditional credit files.

The industry remains embroiled in debates over loan pricing and credit scoring accuracy, with lenders expressing frustration that neither traditional tri-merge scores nor newer models like VantageScore reliably predict borrower behavior. Concerns about inflated scores leading to mispriced loans have prompted calls for downward adjustments in loan pricing, as well as advocacy for single bureau credit reporting to reduce repurchase risk, especially among higher credit borrowers. This skepticism is compounded by regulatory uncertainty and low morale within GSEs, where unclear investor acceptance and informal communications have heightened stress, fueling doubts about leadership and the timing of credit reforms.

In response to market volatility and economic headwinds, mortgage lenders are innovating with digital tools and streamlined products like digital HELOCs, which have transformed from operational burdens into primary growth engines supported by white glove client success teams. Concurrently, industry groups such as the Mortgage Bankers Association are pushing for regulatory reforms, including ending the 'try merge' requirement to foster competition and reduce borrower costs. Despite these advances, the fundamental driver of mortgage performance remains borrowers' ability to repay, closely tied to employment stability, with experts emphasizing that job losses—not credit score nuances—ultimately precipitate defaults amid a resilient job market and inflation-focused regulatory environment.