Tag: credit scoreable

These days, the call for financial inclusion is being answered by a disruptive force of new financial products and services. From fintech to storied institutional players, we're seeing a variety of offerings that are increasingly accessible and affordable for consumers. It's a step in the right direction. And beyond the moral imperative, companies that meet the call are finding that financial inclusion can be a source of business growth and a necessity for staying relevant in a competitive marketplace. A diaspora of credit-invisible consumers To start, let's put the problem in context. A 2022 Oliver Wyman report found about 19 percent of the adult population is either credit invisible (has no credit file) or unscoreable (not enough credit information to be scoreable by conventional credit scoring models). But some communities are disproportionately impacted by this reality. Specifically, the report found: Black Americans are 1.8 times more likely to be credit invisible or unscoreable than white Americans. Recent immigrants may have trouble accessing credit in the U.S., even if they're creditworthy in their home country. About 40 percent of credit invisibles are under 25 years old. In low-income neighborhoods, nearly 30 percent of adults are credit invisible and an additional 16 percent are unscoreable. Younger and older Americans alike may shy away from credit products because of negative experiences and distrust of creditors. Similarly, the Federal Deposit Insurance Corporation (FDIC) reports that an estimated 5.4 percent (approximately 7.1 million) households, were unbanked in 2019 — often because they can't meet minimum balance requirements or don't trust banks. Credit invisibles and unscoreables may prefer to deal in a cash economy and turn to alternative credit and banking products, such as payday loans, prepaid cards, and check-cashing services. But these products can perpetuate negative spirals. High fees and interest can create a vicious cycle of spending money to access money, and the products don't help the consumers build credit. In turn, the lack of credit keeps the consumers from utilizing less expensive, mainstream financial products. The emergence of new players Recently, we've seen explosive growth in fintech — technology that aims to improve and automate the delivery and use of financial services. According to market research firm IDC, fintech is expected to achieve a compound annual growth rate (CAGR) of 25 percent through 2022, reaching a market value of $309 billion. It's reaching mass adoption by consumers: Plaid® reports that 88 percent of U.S. consumers use fintech apps or services (up from 58 percent in 2020), and 76 percent of consumers consider the ability to connect bank accounts to apps and services a top priority. Some of these new products and services are aimed at helping consumers get easier and less expensive access to traditional forms of credit. Others are creating alternative options for consumers. Free credit-building tools. Experian Go™ lets credit invisibles quickly and easily establish their credit history. Likewise, consumers can use Experian Boost™ to build their credit with non-traditional payments, including their existing phone, utility and streaming services bills. Alternative credit-building products. Chime® and Varo® , two neobanks, offer credit builder cards that are secured by a bank account that customers can easily add or withdraw money from. Mission Asset Fund, a nonprofit focused on helping immigrants, offers a fee- and interest-free credit builder loan through its lending circle program. Cash-flow underwriting. Credit card issuers and lenders, including Petal and Upstart, are using cash-flow underwriting for their consumer products. Buy now, pay later. Several Buy Now Pay Later (BNPL) providers make it easy for consumers to pay off a purchase over time without a credit check. Behind the scenes, it's easier than ever to access alternative credit data1 — or expanded Fair Credit Reporting Act (FCRA)-regulated data — which includes rental payments, small-dollar loans and consumer-permissioned data. And there are new services that can help turn the raw data into a valuable resource. For example, Lift PremiumTM uses multiple sources of expanded FCRA-regulated data to score 96 percent of American adults — compared to the 81 percent that conventional scoring models can score with traditional credit data. While we dig deeper to help credit invisibles, we're also finding that the insights from previously unreported transactions and behavior can offer a performance lift when applied to near-prime and prime consumers. It truly can be a win-win for consumers and creditors alike. Final word There's still a lot of work to be done to close wealth gaps and create a more inclusive financial system. But it's clear that consumers want to participate in a credit economy and are looking for opportunities to demonstrate their creditworthiness. Businesses that fail to respond to the call for more inclusive tools and practices may find themselves falling behind. Many companies are already using or planning to use alternative data, advanced analytics, machine learning, and AI in their credit-decisioning. Consider how you can similarly use these advancements to help others break out of negative cycles. 1When we refer to “Alternative Credit Data," this refers to the use of alternative data and its appropriate use in consumer credit lending decisions, as regulated by the Fair Credit Reporting Act. Hence, the term “Expanded FCRA Data" may also apply in this instance and both can be used interchangeably.

Today’s lending market has seen a significant increase in alternative business lending, with companies utilizing new data assets and technology. As the lending landscape becomes increasingly competitive, consumers have more choices than ever when it comes to lending products. To drive profitable growth, lenders must find new ways to help applicants gain access to the loans they need. How Spring EQ is leveraging Experian BoostTM Home equity lender Spring EQ turned to Experian’s first-of-its-kind financial tool that empowers consumers to add positive payments directly into their credit file to assist applicants with attaining the best loan opportunities and rates. By using Experian BoostTM, which captures the value of consumer’s utility and telecom trade lines, in their current lending process, Spring EQ can help applicants near approval or risk thresholds move to higher risk tiers and qualify for better loan terms and conditions. Driving growth with consumer-permissioned data Over 40 million consumers in the U.S. either have no credit file or have insufficient information in their files to generate a traditional credit score. Consumer-permissioned data empowers these individuals to leverage their online financial data and payment histories to gain better access to loans and other financial services while providing lenders with a more comprehensive view of their creditworthiness. According to Experian research, 70% of consumers see the benefits of sharing additional financial information and contributing positive payment history to their credit file if it increases their odds of approval and helps them access more favorable credit terms. Read our case study for more insight on using Experian Boost to: Make better lending decisions Offer or underwrite credit to more people Promote the right credit products Increase conversion and utilization rates Read case study Learn more about Experian Boost

Alex Lintner, Group President at Experian, recently had the chance to sit down with Peter Renton, creator of the Lend Academy Podcast, to discuss alternative credit data,1 UltraFICO, Experian Boost and expanding the credit universe. Lintner spoke about why Experian is determined to be the leader in bringing alternative credit data to the forefront of the lending marketplace to drive greater access to credit for consumers. “To move the tens of millions of “invisible” or “thin file” consumers into the financial mainstream will take innovation, and alternative data is one of the ways which we can do that,” said Lintner. Many U.S. consumers do not have a credit history or enough record of borrowing to establish a credit score, making it difficult for them to obtain credit from mainstream financial institutions. To ease access to credit for these consumers, financial institutions have sought ways to both extend and improve the methods by which they evaluate borrowers’ risk. By leveraging machine learning and alternative data products, like Experian BoostTM, lenders can get a more complete view into a consumer’s creditworthiness, allowing them to make better decisions and consumers to more easily access financial opportunities. Highlights include: The impact of Experian Boost on consumers’ credit scores Experian’s take on the state of the American consumer today Leveraging machine learning in the development of credit scores Expanding the marketable universe Listen now Learn more about alternative credit data 1When we refer to "Alternative Credit Data," this refers to the use of alternative data and its appropriate use in consumer credit lending decisions, as regulated by the Fair Credit Reporting Act. Hence, the term "Expanded FCRA Data" may also apply in this instance and both can be used interchangeably.

The 1990s brought us a wealth of innovative technology, including the Blackberry, Windows 98, and Nintendo. As much as we loved those inventions, we moved on to enjoy better technology when it became available, and now have smartphones, Windows 10 and Xbox. Similarly, technological and modeling advances have been made in the credit scoring arena, with new software that brings significant benefits to lenders who use them. Later this year, FICO will retire its Score V1, making it mandatory for those lenders still using the old software to find another solution. Now is the time for lenders to take a look at their software and myriad reasons to move to a modern credit score solution. Portfolio Growth As many as 70 million Americans either have no credit score or a thin credit file. One-third of Millennials have never bothered to apply for a credit card, and the percentage of Americans under 35 with credit card debt is at its lowest level in more than 25 years, according to the Federal Reserve. A recent study found that Millennials use cash and debit cards much more than older Americans. Over time, Millennials without credit histories could struggle to get credit. Are there other data sets that provide a window into whether a thin file consumer is creditworthy or not? Modern credit scoring models are now being used in the marketplace without negatively impacting credit quality. For example, the VantageScore® credit score allows for the scoring of 30 million to 35 million more people consumers who are typically unscoreable by other traditional generic credit models. The VantageScore® credit score does this by using a broader, deeper set of credit file data and more advanced modeling techniques. This allows the VantageScore® credit score model to more accurately predict unique consumer behaviors—is the consumer paying his utility bill on time?—and better evaluate thin file consumers. Mitigate Risk In today’s ever-changing regulatory landscape, lenders can stay ahead of the curve by relying on innovative credit score models like the VantageScore® credit score. These models incorporate the best of both worlds by leaning on innovative scoring analytics that are more inclusive, while providing marketplace lenders with assurances the decisioning is both statistically sound and compliant with fair lending laws. Newer solutions also offer enhanced documentation to ease the burden associated with model risk management and regulatory compliance responsibilities. Updated scores Consumer credit scores can vary depending on the type of scoring model a lender uses. If it's an old, outdated version, a consumer might be scored lower. If it's a newer, more advanced model, the consumer has a better shot at being scored more fairly. Moving to a more advanced scoring model can help broaden the base of potential borrowers. By sticking to old models—and older scores—a sizable number of consumers are left at a disadvantage in the form of a higher interest rate, lower loan amount or even a declined application. Introducing advanced scoring models can provide a more accurate picture of a consumer. As an example, for many of the newest consumer risk models, like FICO Score 9, a consumer’s unpaid medical collection agency accounts will be assessed differently from unpaid non-medical collection agency accounts. This isn't true for most pre-2012 consumer risk score versions. Each version contains different nuances for increasing your score, and it’s important to understand what they are. Upgrading your credit score to the latest VantageScore® credit score or FICO solution is easier than you think, with a switch to a modern solution taking no longer than eight weeks and your current business processes still in place. Are you ready to reap the rewards of modern credit scoring?