Tag: alternative credit data

For decades, the credit scoring system has relied on traditional data that only examines existing credit captured on a credit report – such as credit utilization ratio or payment history – to calculate credit scores. But there's a problem with that approach: it leaves out a lot of consumer activity. Indeed, research shows that an estimated 28 million U.S. adults are “credit invisible," while another 21 million are “unscorable."1 But times are changing. While conventional credit scoring systems cannot generate a score for 19 percent of American adults,1 many lenders are proactively turning to expanded FCRA-regulated data – or "alternative data" – for solutions. Types of expanded FCRA-regulated data By tapping into technology, lenders can access expanded FCRA-regulated data, which offers a powerful and complete view of consumers' financial situations. Expanded public record data This can include professional and occupational licenses, property deeds and address history – a step beyond the limited public records information found in standard credit reports. Such expanded public record data is available through consumer reporting agencies and does not require the customer's permission to use it since it's a public record.1 “Experian has partnerships with these agencies and can access public records that provide insight into factors like income and housing stability, which have a direct correlation with how they'll perform," said Greg Wright, Chief Product Officer for Experian Consumer Information Services. “For example, lenders can see if a consumer's professional license is in good standing, which is a strong correlation to income stability and the ability to pay back a loan." Rental payment data Experian RentBureau draws updated rental payment history data every 24 hours from property managers, electronic rent payment services and collection companies. It can also track the frequency of address changes. “Such information can be a good indicator of risk," said Wright. “It allows lenders to make informed judgments about the financial health and positive payment history of consumers." Consumer-permissioned data With permission from consumers, lenders can look at different types of financial transactions to assess creditworthiness. Experian Boost™, for example, enables consumers to factor positive payment history, such as utilities, cell phone or even streaming services, into an Experian credit file. “Using the Experian Boost is free, and for most users, it instantly improves their credit scores," said Wright. “Overall, those 'boosted' credit scores allow for fairer decisioning and better terms from lenders – which gives customers a second chance or opportunity to receive better terms." Financial Management Insights Financial Management Insights considers data that is not captured by the traditional credit report such as cash flow and account transactions. For instance, this could include demand deposit account (DDA) data, like recurring payroll deposits, or prepaid account transactions. “Examining bank account transaction data, prepaid accounts, and cash flow data can be a good indicator of ability to pay as it helps verify income, which gives lenders insights into consumers' cash flow and ability to pay," Wright added. Clarity Credit Data With Experian's Clarity Credit Data, lenders can see how consumers use expanded FCRA-regulated data along with their related payment behavior. It provides visibility into critical non-traditional loan information, including more insights into thin-file and no-file segments allowing for a more comprehensive view of a consumer's credit history. Lift Premium™ By using multiple sources of expanded FCRA-regulated data to feed composite scores, along with artificial intelligence and machine learning, Lift Premium™ can vastly increase the number of consumers who can be scored. For example, research shows that Lift Premium™ can score 96 percent of American adults ­– a significant increase from the 81 percent that are scorable with conventional scores relying on only traditional credit data. Additionally, such enhanced composite scores could enable 6 million of today's subprime population to qualify for “mainstream" (prime or near-prime) credit.1 How is expanded FCRA-regulated data changing the credit scoring system? The current credit scoring system is rapidly evolving, and modern technology is making it easier for lenders to access expanded FCRA-regulated data. Indeed, this data disruption is changing lender business in a positive way. “When lenders use expanded credit data assets, they see that many unscorable and credit invisible consumers are in fact creditworthy," said Wright. “Layering in expanded FCRA-regulated data gives a clearer picture of consumers' financial situation." By expanding data assets, tapping into artificial intelligence and machine learning, lenders can now score many more consumers quickly and accurately. Moreover, forward-thinking lenders see these expanded data assets as offering a competitive edge: it's estimated that modern credit scoring methods could allow lenders to grow their pool of new customers by almost 20 percent.1 Case study: Consumer-permissioned data To date, over 9 million people have used Experian Boost. The technology uses positive payment history as a way to recognize customers who exhibit strong credit behaviors outside of traditional credit products. “Boosted" consumers were able to add on average 14 points to their FICO scores in 2022 so far, making many eligible for additional financial products with better terms or better product offerings. Active Boost consumers, post new origination performed on par or better than the average U.S. originator, consistently over time. “In other words, having this additional lens into a consumer's financial health means lenders can expand their customer base without taking on additional credit risk," explains Wright. The bottom line The world of credit data is undergoing a revolution, and forward-thinking lenders can build a sound business strategy by extending credit to consumers previously excluded from it. This not only creates a more equitable system, but also expands the customer base for proactive lenders who see its potential in growing business. Learn more 1Oliver Wyman white paper, “Financial Inclusion and Access to Credit,” January 12, 2022.

Millions of consumers are excluded from the credit economy, whether it’s because they have limited credit history, dated information within their credit file, or are a part of a historically disadvantaged group. Without credit, it can be difficult for consumers to access the tools and services they need to achieve their financial goals. This February, Experian surveyed over 1,000 consumers across census demographics, including income, ethnicity, and age, to understand the perceptions, needs, and barriers underserved communities face along their credit journey. Our research found that: 75% of consumers with an average household income of less than $50,000 have less than $1,000 in savings. 1 in 5 consumers with an average household income of less than $35,000 say they’re confident in getting approved for credit. 80% of respondents who are not or slightly confident in getting approved for credit were women. When asked why they believed they would not get approved for credit, participants shared common responses, such as having poor payment history, a low credit score, and insufficient income. Given these findings, what can lenders provide to help underserved consumers strengthen their financial profiles and gain access to the credit they need and deserve? The power of credit education While only 20% of respondents were familiar with credit education tools, the majority expressed interest in these offerings. With Experian, lenders can develop and implement credit education programs, tools, and solutions to help consumers understand their credit and the impact certain choices can have on their credit scores. From interactive tools like Score Simulator and Score Planner to real-time alerts from Credit Monitoring, consumers can actively assess their financial health, take steps to improve their creditworthiness, and ultimately become better candidates for credit offers. In turn, consumers can feel more confident and empowered to achieve their financial goals. Credit education tools not only help consumers increase their credit literacy, confidence, and chances of approval, but they also create opportunities for lenders to build lasting customer relationships.  Consumers recognize that healthy credit plays an important role in their financial lives, and by helping them navigate the credit landscape, lenders can increase engagement, build loyalty, and enhance their brand’s reputation as an organization that cares about their customers. Empowering consumers with credit education is also a way for lenders to unlock new revenue streams. By learning to borrow, save, and spend responsibly, consumers can improve their creditworthiness and be in a better position to accept extended credit offerings, driving more cross-sell and upsell opportunities for lenders. More ways experian can help Experian is deeply committed to helping marginalized and low-income communities access the financial resources they need. In addition to our credit education tools, here are a few of our other offerings: Our expanded data helps lenders make better lending decisions by providing greater visibility and transparency around a consumer’s inquiry and payment behaviors. With a holistic view of their current and prospective customers, lenders can more accurately identify creditworthy applicants, uncover new growth opportunities, and expand access to credit for underserved consumers. Experian GoTM is a free, first-of-its-kind program to help credit invisibles and those with limited credit histories begin building credit on their own terms. After authenticating their identities and obtaining an Experian credit report, users will receive ongoing education about how credit works and recommendations to further build their credit history. To learn more about building profitable customer relationships with credit education, check out our credit education solutions and watch our Three Ways to Uncover Financial Growth Opportunities that Benefit Underserved Communities webinar. Learn more Watch webinar

As more consumers apply for credit and increase their spending1, lenders and financial institutions have an opportunity to expand their portfolios and improve profitability. The challenge is ensuring they’re extending credit responsibly and inclusively. Millions of Americans, many of whom are creditworthy, lack access to mainstream credit options. This may be because they have limited or no credit history, negative information within their credit file, or are a part of a historically disadvantaged group. To say “yes” to consumers they otherwise couldn’t or wouldn’t lend to, lenders must gain a deeper understanding of an individual’s stability, ability and willingness to pay. That’s where expanded FCRA-regulated and trended data come in. While traditional credit data has long been the primary means of gauging creditworthiness, it doesn’t tell the full story of a consumer’s financial situation. Let’s explore how differentiated data can help lenders make more informed credit decisions. Using differentiated data for deeper lending Expanded FCRA-regulated data provides supplemental credit data to help lenders gain a more holistic view of their current and prospective customers. Some examples of expanded FCRA-regulated data include alternative financial services data from nontraditional lenders, consumer-permissioned account data, rental payments and full-file public records. Because this data drives greater visibility and transparency around inquiry and payment behaviors, lenders can more accurately determine a consumer’s ability to pay and distinguish between reliable and high-risk applicants. In turn, lenders can approve more creditworthy consumers, grow their portfolios and increase financial opportunities for underserved communities, all while preventing and mitigating risk. 89% of lenders agree that expanded FCRA-regulated data allows them to extend credit to more consumers. Trended data empowers lenders with predictive insights into consumers by providing key balance and payment data for the previous 24 months. This is important as lenders can determine if a consumer’s credit behavior has improved or deteriorated over time. In turn, lenders can: Identify creditworthy customers: Establish if a consumer has a demonstrated ability to pay, is consistently paying more than the minimum payment, or shows no signs of payment stress. Increase response rates: Match the right products with the right prospects. Determine upsell and cross-sell opportunities: Present relevant offers based on anticipated needs and behaviors. Limit loss exposure: Understand the direction and velocity of payment performance to effectively manage risk exposure. Trended data helps lenders better predict future behavior, manage portfolio risk and design the best marketing offers. Turning insights into action Together, trended and expanded FCRA-regulated data benefit lenders and consumers alike. With a more holistic view of their customers, lenders gain powerful insights to lend deeper, ultimately helping them to expand their portfolios and drive greater access to credit for underserved communities. Learn more 1 The Recovery of Credit Applications to Pre-Pandemic Levels, Consumer Financial Protection Bureau, 2021.

Credit scores hold the key to many aspects of our financial lives. Whether qualifying for a mortgage, insurance, or a smartphone plan, financial institutions rely on credit reports — a document detailing how responsibly a person has used credit accounts in the past — to decide if they should approve your financing application. However, here's the problem: because today's scoring system leans heavily on a person’s credit history to generate a credit score, it leaves out large segments of the United States population from accessing credit. According to a recent Oliver Wyman report, an estimated 28 million U.S. consumers are considered ”credit invisible," while another 21 million are deemed "unscorable," meaning they don’t have the types of accounts that have been traditionally used to generate a credit score. Using the traditional credit-scoring formula, certain populations, such as communities of color and low-income consumers, are left behind. Now, times are changing. A modern approach to credit scoring can significantly improve the financial inclusion of millions of U.S. consumers and correct past and present inequities. ­Tapping into advanced technologies that leverage expanded data assets can produce powerful results. A cycle of exclusion: The limitations of conventional credit scoring A big part of the problem lies with how credit scores are calculated. Between payment history and length of accounts held, a consumer’s credit history accounts for 50 percent of a FICO credit score — the credit score used by 90 percent of top lenders for credit decisions. In other words, the credit system rewards people who already have (or can get) credit and penalizes those that cannot or don't yet have credit. For those who do not have credit, their financial behaviors ­— such as timely rental and utility payments, bank account data and payday loan installment payments — may not get reported to credit bureaus. As a result, consumers without a credit history may appear as credit invisible or unscorable because they don't have enough tradelines to generate a score. But they also can’t get credit to improve their score. It creates a cycle of exclusion that’s hard to break. Who gets left behind? According to the latest research, the limitations on the traditional credit scoring system disproportionately impact certain communities: Low-income: 30 percent of those in low-income neighborhoods are credit invisible, and 16 percent are considered unscorable, compared with just 4 percent and 5 percent, respectively, in upper-income neighborhoods.1 Communities of color: 27 percent of Black and 26 percent of Hispanic consumers are either credit invisible or unscorable, while only 16 percent of white consumers are.1 Immigrants: People who have recently arrived in the United States can lack a credit history here, even if they may have had one in their home country. Meanwhile, undocumented immigrants, who don’t have a Social Security number, can find it difficult to get a credit card or use other financial services. Young adults: 40 percent of credit invisibles in the U.S. are under the age of 25,1 with 65 percent of 18- to 19-year-olds lacking a credit score. Being labeled unscorable or credit invisible can hinder participation in the financial system and prevent populations from accessing the socioeconomic opportunities that go with it. Why are certain individuals and communities excluded? There are often complex — and valid — reasons for why many consumers are deemed unscorable or credit invisible. For example, newcomers may appear to be credit invisible because haven’t yet generated a credit history in the U.S., although they may have a solid score in their home country. Young consumers are also a common category of unscorable or credit invisible people, largely because they haven't acquired credit yet. Only 35 percent of 18- to 19-year-olds have a credit score, while 91 percent of 25- to 29-year-olds do. However, those who can quickly get a credit history typically come from wealthier households, where they can rely on a creditworthy guarantor to help them establish credit. Finally, some consumers have had negative experiences with the financial system. For instance, a prior default can make it difficult to access credit in the future, which can result in an extended period without credit, eventually leading to being labelled unscorable. Others may distrust the mainstream financial system and choose not to participate. Underpinning all this are racial disparities, with Black and Hispanic consumers being classified as unscorable and credit invisible at significantly higher rates than white and Asian consumers. According to the Consumer Financial Protection Bureau (CFPB), Black and Hispanic people, as well as low-income consumers, are more likely to have “scant or non-existent” credit histories. Financial inclusion is an equity issue Traditional credit scoring places big barriers on certain communities. Without access to credit, marginalized communities will continue to face challenges. They will lack the ability to purchase property, secure business and/or personal loans and deal with financial emergencies, further widening the wealth gap. Since credit scores are used to decide loan eligibility and what interest rate to offer, those with low or no credit rating tend to pay higher interest rates or are denied desired loans, which compounds financial difficulty. The impact is profound: a significant percentage of the population struggles to access basic financial services as well as life opportunities, such as financing an education or buying a home. Without the ability to generate a credit score, unscorable or credit invisible consumers often turn to less-regulated financial products (such as payday loans or buy now pay later agreements) and pay more for these, often locking them in a vicious cycle. Consumers who are credit invisible or unscorable often end up paying more for everyday transactions. They may be required to put up hefty deposits for housings and utilities. Auto and homeowners insurance, which use credit score as a factor in setting rates, may be more expensive too. Consider how much this could impede someone’s ability to save and build generational wealth. Financial inclusion seeks to bring more consumers into the financial system and enable access to safe, affordable financial services and products. With the right technology on your side, there are solutions that make it easier to do so. Tap into technology Banks, credit unions and other lending institutions are well positioned to move the needle on financial inclusion by embracing expanded definitions of creditworthiness. By seeking out expanded FCRA-regulated data with wider sources of financial information, financial institutions can find a vast untapped pool of creditworthy consumers to bring into the fold. Technology makes achieving this goal easier than ever. New credit scoring tools, like Lift Premium™, can give lenders a more complete view of the consumer to use for credit decisioning. It combines traditional credit data with expanded FCRA-regulated data sources, helping lenders uncover more creditworthy consumers. Lift Premium can score 96 percent of U.S. consumers, compared to just 81 percent that conventional scoring systems do now. By applying machine learning to expanded data sets, Lift Premium can build a fuller and more accurate view of consumer behaviors. Moreover, the 6 million consumers whose scores are now considered subprime could be upgraded to prime or near-prime by analyzing the expanded data that Lift Premium uses. The opportunity presented by financial inclusion is significant. Imagine being able to expand your portfolio of creditworthy borrowers by almost 20 percent. The last word With a renewed focus on social justice, it’s no surprise that regulators and activists alike are turning their attention to financial inclusion. A credit-scoring system that allows lenders to better evaluate more consumers can give more people access to transparent, cheaper and safer financial products and the socioeconomic benefits that go along with them. New models and data assets offer additional data points into the credit scoring system and make it possible for lenders to expand credit to a greater number of consumers, in the process creating a fairer system than exists today. Early adopter lenders who embrace financial inclusion now can gain a first-mover advantage and build a loyal customer base in a competitive market. Learn more Download white paper 1Oliver Wyman white paper, “Financial Inclusion and Access to Credit,” January 12, 2022. 

Nearly 28 million American consumers are credit invisible, and another 21 million are unscorable.1 Without a credit report, lenders can’t verify their identity, making it hard for them to obtain mortgages, credit cards and other financial products and services. To top it off, these consumers are sometimes caught in cycles of predatory lending; they have trouble covering emergency expenses, are stuck with higher interest rates and must put down larger deposits. To further our mission of helping consumers gain access to fair and affordable credit, Experian recently launched Experian GOTM, a first-of-its-kind program aimed at helping credit invisibles take charge of their financial health. Supporting the underserved Experian Go makes it easy for credit invisibles and those with limited credit histories to establish, use and grow credit responsibly. After authenticating their identity, users will have their Experian credit report created and will receive educational guidance on improving their financial health, including adding bill payments (phone, utilities and streaming services) through Experian BoostTM. As of January 2022, U.S. consumers have raised their scores by over 87M total points with Boost.2 From there, they’ll receive personalized recommendations and can accept instant card offers. By leveraging Experian Go, disadvantaged consumers can quickly build credit and become scorable. Expanding your lending portfolio So, what does this mean for lenders? With the ability to increase their credit score (and access to financial literacy resources), thin-file consumers can more easily meet lending eligibility requirements. Applicants on the cusp of approval can move to higher score bands and qualify for better loan terms and conditions. The addition of expanded data can help you make a more accurate assessment of marginal consumers whose ability and willingness to pay aren’t wholly recognized by traditional data and scores. With a more holistic customer view, you can gain greater visibility and transparency around inquiry and payment behaviors to mitigate risk and improve profitability. Learn more Download white paper 1Data based on Oliver Wyman analysis using a random sample of consumers with Experian credit bureau records as of September 2020. Consumers are considered ‘credit invisible’ when they have no mainstream credit file at the credit bureaus and ‘unscorable’ when they have partial information in their mainstream credit file, but not enough to generate a conventional credit score. 2https://www.experian.com/consumer-products/score-boost.html

Credit plays a vital role in the lives of consumers and helps them meet important milestones – like getting a car and buying their own home. Unfortunately, not every creditworthy individual has equal access to financial services. In fact, 28 million adult Americans are credit invisible and another 21 million are considered unscorable.1 By leveraging expanded data sources, you can gain a more complete view of creditworthiness, make better decisions and empower consumers to more easily access financial opportunities. The state of credit access Credit is part of your financial power and helps you get the things you need. So, why are certain consumers excluded from the credit economy? There’s a host of reasons. They might have limited or no credit history, have dated or negative information within their credit file or be part of a historically disadvantaged group. For example, almost 30% of consumers in low-income neighborhoods are credit invisible and African and Hispanic Americans are less likely than White Americans to have access to mainstream financial services.2 By gaining further insight into consumer risk, you can facilitate first and second chances for borrowers who are increasingly being shut out of traditional credit offerings. Greater data, greater insights, greater growth Expanding access to credit benefits consumers and lenders alike. With a bigger pool of qualified applicants, you can grow your portfolio and help your community. The trick is doing so while continuing to mitigate risk – enter expanded data. Expanded data includes non-credit payments, demand deposit account (DDA) transactions, professional certifications, and foreign credit history, among other things. Using these data sources can drive greater visibility and transparency around inquiry and payment behaviors, enrich decisions across the entire customer lifecycle and allow lenders to better meet the financial needs of their current and future customers. Read our latest white paper for more insight into the vital role credit plays within our society and how you can increase financial access and opportunities in the communities you serve. Download now 1Data based on Oliver Wyman analysis using a random sample of consumers with Experian credit bureau records as of September 2020. Consumers are considered ‘credit invisible’ when they have no mainstream credit file at the credit bureaus and ‘unscorable’ when they have partial information in their mainstream credit file, but not enough to generate a conventional credit score. 2Credit Invisibles, The CFPB Office of Research, May 2015.

Financial inclusion is a challenge, that, while not new, has become ever more apparent over the last year. The inequities and inequalities in our society, exasperated by the COVID-19 pandemic, which disproportionately affected underserved populations, have amplified the challenge lenders and others in the financial services industry face in fostering financial inclusion. As a result, there is an increased focus and importance on diversity, equity and inclusion (DEI) and having the ability to assess creditworthiness of overlooked and ‘invisible’ consumers. In a recent webinar, we sat down with Sarah Davies, Head of Data Analytics at Nova Credit, and a panel of Experian experts including Wil Lewis, Chief Diversity, Equity and Inclusion Officer, Alpa Lally, Vice President of Product Management, and Greg Wright, Product Chief Officer, to explore the topic of DEI, what best practices exist to break down financial inclusion barriers and move financial access forward for all, and real-takeaway strategies and capabilities designed for fintechs and other financial institutions to leverage for lending deeper. Below are a few key perspectives from our speakers: What barriers to access are there for credit across different groups of people? [WL]: There are many barriers to financial inclusion, especially for underserved communities. The first of which is lack of awareness and lack of education about credit and how it impacts financial access – from obtaining loans, buying a first home, a new car and more. Not every American has someone in their life to teach and provide coaching on credit responsibility and how to be financially literate. [AL]: Historically, credit, wealth and health inequalities have all contributed to financial disparities, and as a result, have created an underrepresentation of marginalized communities in the current credit ecosystem. That’s compounded by today’s ecosystem where consumer underwriting favors those with established thick-file credit histories with minimal delinquencies, particularly in the last 24 months. So, all things being equal, additional points distributed to elevate scores are given to consumers that are maintaining low revolving debt. This poses credit barriers for those starting out new to credit, or even to immigrants coming into a new country who don’t have an established credit history.   What role could the credit industry play in healing the financial disparities created by the COVID-19 pandemic? [WL]: Our opportunity lies in meeting consumers where they are today. COVID-19 has spotlighted economic and social disparities in a way it hasn’t been done before. At the same time, it illustrated how the inability of some groups to access financial services requires meaningful solutions, quickly. Historically, organizations have been known to look at this in a traditional way: meaning “we are the organization, consumers come to us and we can tell you what you can and can’t do.” We need to shift our focus to how we can provide consumers with tools, technology and machine learning (ML) that are available to empower them. [SD]: One of the lessons we’ve learned from COVID, is that we need to be able to get to the marketplace fast in order to respond to the economic conditions. Fintechs have been very effective at this and it has shown through the approach they’ve taken towards immediacy in identifying, developing and distributing solutions. With consumers in a stressed position, it’s incumbent upon us, as the industry, to deliver consumer-centric options and opportunities in an efficient manner rather than having our consumers sit around waiting for them.   Are there solutions to help ensure we are lending deeper and serving thin-filed consumers? [AL]: At its core, data – not limited to only traditional credit data – that can be decisioned on, can help enrich financial inclusion. Alternative data, or expanded FCRA data, means that the data is displayable, disputable and correctable by the consumer. We recognize that traditional credit is still an effective way to assess a consumer’s credit worthiness. However, expanded FCRA data includes data points from rental, video streaming, all other industry sectors to help provide a 360 view of the consumer with additional insights - whether you are a thick-file consumer, thin-file consumer, or credit invisible. Through these different various data assets paired with advanced analytics and ML, we now have a mechanism to make sure consumers go from credit invisible to visible – and scorable. Leveraging Experian Boost and Experian Lift scores can do just that. [SD]: Expanded FCRA data is powerful and vital for helping the consumer. In addition, we are now in a place where the consumer can take on the responsibility and accountability for giving permission to include their data in the credit score. You’re putting the consumers in the driver seat, and with that, we are dissolving the psychological barriers that consumers may have had previously around their credit score being out of their control. As a player in the financial services space, we can put out as much data as we want, but it’s about engaging the consumer, sharing with them how it’s safe to share their data, and what the benefits of doing so are.   Are there tangible and intangible benefits of DEI that companies can realize when they have formal DEI programs in place? [WL]: Often times, when we think of lending, we talk about it from the standpoint of our business – ‘what are we doing for our customers, how are we helping consumers who are going to a institution for a loan.’ What we typically forget about is our own backyard. Every organization has employees who are at different points in their credit journey. How often do we talk directly to our employees and give them tools and details that may help them, their family member, or neighbor? As I think about DEI, it’s about involving folks inside your company to continue moving financial inclusion forward. As for an intangible benefit, when doing work in DEI and driving impact, you’re also reducing negative reputational risk. Reputable brands are invaluable, as you begin to make and show an impact, consumers begin to trust you. [AL]: Brand and reputation is huge in today’s world. We are starting to see a shift in consumers selecting certain institutions to work with, not just because of the services provided, but because it’s based on the brand and what they stand for. You as an institution are doing financial inclusion and you’re living up to it. You are truly embarking internally and externally on this initiative and it adds weights on the products and solutions that you sell. For consumers, that may be very important.   What does the future look like relative to financial inclusion? [WL]: It’s a world where all of us play a role in - no matter where you are in the organization. It’s all of our jobs and responsibility to talk about it to our fellow neighbor, consumer, and direct them to tools that will help them. [SD]: We no longer need to justify why financial inclusion is necessary. We’ve got all the data we need. Tools and mechanisms for organizations and consumers are almost universally available. The go-forward view requires all ‘players’ within the space to aggressively embrace these tools and data and start sharing and applying them across all markets and verticals. There’s no longer a reason not to be able to underwrite somebody with a thin file or marginal set of data. We have everything in place at this point. [AL]: It’s all our jobs. I think we have to put a lot of importance on our younger leaders and colleagues to carry our initiatives forward, so we are truly inclusive. We have just started taking the initial steps and we’ve made good progress, but we need to continue to make progress. In the future, I hope to see all that are younger take this forward and drive financial inclusion for all across the spectrum. Watch the full session to hear more of the engaging and timely discussion. Access the recording To learn more about how Experian is committed to advancing financial inclusion, please visit Experian’s Inclusion Forward resources page. For Fintechs looking to partner with Experian on marketplace lending solutions, explore our solutions here.

Millions of consumers lack credit history and/or have difficulty obtaining credit from mainstream financial institutions. As a result, the use of expanded Fair Credit Reporting Act (FCRA) – or alternative – data has continued to gain popularity among lenders and financial intuitions to enrich decisions across the entire lending lifecycle to meet the financial needs of their consumers. Experian presented in a recent webinar hosted by AFSA, where Alpa Lally, Vice President of Product Management, and David Elmore, Automotive Solutions Consultant, had a chance to speak about the benefits of FCRA data, and ways lenders can leverage this data to ease access to credit for “invisible” and below prime consumers. Watch the full webinar, “FCRA Data: The Key to Unlocking Credit Universe” and learn more about: How expanded FCRA data is being used throughout the lending lifecycle The benefits of leveraging FCRA data including providing a more holistic view of a consumer’s credit profile and behavior beyond financial services, leading to smarter, more informed lending decisions The lift FCRA data can offer when augmented with traditional credit data This webinar is a part of AFSA’s partner webinar series. To learn more about FCRA data and explore related content, please visit our FCRA Alternative Credit Data Resources Page. Learn More About FCRA-Alternative Credit Data

For credit unions, having the right income and employment verification tools in place helps to create an application process that is easy and low friction for both new and existing members. Digital first is member first The digital evolution created an expectation for online experiences that are simple, fast, and convenient. Attracting and building trusted, loyal relationships and paving the way for new revenue-generating opportunities now hinges on a lender's ability to provide experiences that meet those expectations. At the same time, market volatility and economic uncertainty are driving catalysts behind the need for credit unions to gain a more holistic view of a member’s financial stability. To gain a competitive advantage in today’s lending environment, credit unions need income and employment verification solutions that balance two often polarizing business drivers: member experience and risk management. While verified income and employment data is key to understanding stability, it’s equally important to streamline the verification process and make it as frictionless as possible for borrowers. With these things in mind, here are three considerations to help credit unions ensure their income and employment verification process creates a favorable member experience. The more payroll records, the better Eliminate friction for members by tapping into a network of millions of unique employer payroll records. Gaining instant access into a database of this scale helps enable decisions in real-time, eliminates the cost and complexity of many existing verification processes, and allows members to skip cumbersome steps like producing paystubs. Create a process with high configuration and flexibility Verification is not a one-size-fits-all process. In some cases, it might be advantageous to tailor a verification process. Make sure your program is flexible, scalable and highly configurable to meet your evolving business needs. It should also have seamless integration options to plug and play into your current operations with ease. The details are in the data When it comes to income and employment verification, make sure that you are leveraging the most comprehensive source of consumer information. It’s important that your program is powered by quality data from a wealth of datasets that extend beyond traditional commercial businesses to ensure you are getting the most comprehensive view. Additionally, look to leverage a network of exclusive employer payroll records. With both assets, make sure you understand how frequently the data is refreshed to be certain your decisioning process is using the freshest and highest-quality data possible. Implementing the right solution By including a real-time income and employment verification solution in your credit union’s application process, you can improve the member experience, minimize cost and risk, and make better and faster decisions. To learn more about Experian’s income and employment verification solutions, or for a complimentary demo, feel free to contact an expert today. Learn more Contact us

Experian recently announced its expansion into Employer Services and the release of a new suite of real-time income and employment verification products, Experian Verify™. The COVID-19 pandemic amplified lenders' need for deeper insights into a consumer's financial situation. At the same time, employers were flooded with record-breaking unemployment claims, while managing stay-at-home orders, income and employment verification fulfillment requests, and more. "We're committed to helping employers, businesses, lenders, and consumers on the road to recovery from the pandemic and beyond," said Alex Lintner, Group President Experian Consumer Information Services. "To support this, we're building two businesses: Experian Employer Services and Verification Solutions. These businesses will create meaningful change and provide our clients with competitive options to achieve their verification needs while helping improve access to credit for consumers." With Experian Verify, lenders can quickly and easily create a more complete picture of a consumer's financial situation by verifying an applicant's income and employment status. Powered by our growing network of payroll and proprietary employer data, Experian Verify offers lenders flexible and secure access to income and employment records. With a consumer's consent, lenders can request the information from Experian and an income and employment report can be delivered to lenders through an API, online Experian dashboard, or paired with an Experian credit report. "As we begin to recover from the COVID-19 pandemic and employers are reopening their doors, we're confident we have assembled the best-of-the-best to help employers overcome their toughest challenges. We're committed to leveraging our combined capabilities and focus on high-touch customer service to deliver secure, scalable and transparent services to employers," said Michele Bodda, President of Experian Mortgage, Employer Services and Verification solutions. Visit us for more information on Experian Verify and Experian's Employer Services. Contact us

Big data is bringing changes to the way credit scores are reported and making it easier for lenders to find creditworthy consumers, and for consumers to qualify for the financing they need. Since last year’s annual report, alternative credit data1 has continued to gain in popularity. In Experian’s latest 2020 State of Alternative Credit Data report, we take a closer look at why alternative credit data is supplemental and essential to consumer lending and how it’s being adopted by both consumers and financial institutions. While the topic of alternative credit data has become more well known, its capabilities and benefits are still not widely discussed. For instance, did you know that … 89% of lenders agree that alternative credit data allows them to extend credit to more consumers. 96% of lenders agree that in times of economic stress, alternative credit data allows them to more closely evaluate consumer’s creditworthiness and reduce their credit risk exposure. 3 out of 4 consumers believe they are a better borrower than their credit score represents. Not only do consumers believe they’re more financially astute than their credit score depicts – but they’re happy to prove it, with 80% saying they would share various types of financial information with lenders if it meant increased chances for approval or improved interest rates. This year’s report provides a deeper look into lenders’ and consumers’ perceptions of alternative credit data, as well as an overview of the regulatory landscape and how alternative credit data is being used across the lending marketplace. Lenders who incorporate alternative credit data and machine learning techniques into their current processes can harness the data to unlock their portfolio’s growth potential, make smarter lending decisions and mitigate risk. Learn more in the 2020 State of Alternative Credit Data white paper. Download now

In today’s uncertain economic environment, the question of how to reduce portfolio volatility while still meeting consumers’ needs is on every lender’s mind.  With more than 100 million consumers already restricted by traditional scoring methods used today, lenders need to look beyond traditional credit information to make more informed decisions. By leveraging alternative credit data, you can continue to support your borrowers and expand your lending universe. In our most recent podcast, Experian’s Shawn Rife, Director of Risk Scoring and Alpa Lally, Vice President of Data Business, discuss how to enhance your portfolio analysis after an economic downturn, respond to the changing lending marketplace and drive greater access to credit for financially distressed consumers. Topics discussed, include: Making strategic, data-driven decisions across the credit lifecycle Better managing and responding to portfolio risk Predicting consumer behavior in times of extreme uncertainty Listen in on the discussion to learn more. Experian · Effective Lending in the Age of COVID-19

Account management is a critical strategy during any type of economy (pro-cycle, counter-cycle, cycle neutral). In times like these, marked by economic volatility, it is an effective way to identify which parts of your portfolio and which of your consumers need the most attention. Check out this podcast where Cyndy Chang, Senior Director of Product Management, and Craig Wilson, Senior Director of Consulting, discuss the foundational elements of account management, best practices and use cases. Account management today looks very different than what it has been during over a decade of growth proactive; account review is a critical part of navigating the path forward. Questions that need to be addressed include: Do you have the right data? Are you monitoring between data loads? Are you reviewing accounts at the frequency that today’s changing demands require? Listen in on the discussion to learn more. Experian · Look Ahead Podcast

To combat the growing threat of synthetic identity fraud, Experian recently announced the launch of Sure ProfileTM, a revolutionary change to the credit profile that gives lenders peace of mind with Experian’s commitment to share in losses that result from an identity we’ve assured.   “Experian has always been a leader in combatting fraud, and with Sure Profile, we’re proud to deliver an industry-first fraud offering integrated into the credit profile that mitigates lender losses while protecting millions of consumers’ identities,” said Robert Boxberger, President of Decision Analytics, Experian North America.   Synthetic identity fraud is expected to drive $48 billion in annual online payment fraud losses by 2023. Between opportunistic fraudsters and a lack of a unified definition for synthetic identity theft it can be nearly impossible to detect—and therefore prevent—this type of fraud.   This breakthrough solution provides a composite history of a consumer’s identification, public record, and credit information and determines the risk of synthetic fraud associated with that consumer. It’s not just a fraud tool, it’s a comprehensive credit profile that utilizes premium data so lenders can make positive credit decisions.   Sure Profile leverages the capabilities of the Experian Ascend Identity PlatformTM and uses Experian’s industry-leading data assets and data quality to drive advanced analytics that set a higher level of protection for lenders. It’s powered by newly-developed machine learning and AI models. And it offers a streamlined approach to define and detect synthetic identities early in the originations process.   Most importantly, Sure Profile differentiates between real people and potentially risky applicants so lenders can increase application approvals with greater assurance and less risk.   “Experian can confidently define and help detect synthetic fraud. That's why we can help stop it,” said Craig Boundy, CEO of Experian North America. “Experian stands behind our data with assurance given to our clients. It’s better for lenders and it’s better for consumers.”   Sure Profile is a complement to our robust set of identity protection and fraud management capabilities, which are designed to address fraud and identity challenges including account openings, account takeovers, e-commerce fraud and more. This first-of-its kind profile is the future of underwriting and portfolio protection and it’s here now. Read press release Learn More About Sure Profile

The current pandemic will affect the way financial institutions lend and provide credit. Shawn Rife, Experian’s Director of Product Scoring, discusses the ways that financial institutions can navigate the COVID-19 crisis. Check out what he had to say: What implications does the global pandemic have on financial institutions’ analytical needs?  SR: In the customer lifecycle, there are 4 different stages: prospecting, acquisitions, portfolio management, and collections. During times of economic uncertainty, lenders typically take additional actions to ensure that there’s a first line of defense against delinquencies and payment stress. Expanding their focus to incorporate account review/portfolio management becomes particularly important. During this time, clients will be looking for leadership, early warning signs, and ways to recession-proof their portfolios (account management), while growing and maintaining their approvals in a healthy way (originations). Lenders may be well advised to delay any focus on collections, since many consumers may be facing major payment stress through no mismanagement of their own doing. Another critical component is with the rollout of government stimulus packages, which lenders can use to identify people in stress who could benefit for second chance opportunities they may not have otherwise been able to receive. As more consumers seek credit, from an analytics perspective, what considerations should financial institutions be making during this time?  SR: Financial institutions should be assessing and pre-identifying situations that might place consumers in positions of elevated financial stress. That way, organizations can implement solutions to identify and help at-risk consumers before they fall delinquent. The recent Coronavirus Aid, Relief, and Economic Security Act (CARES Act) – coupled with Experian’s score treatment, are designed to protect consumers against score declines during times of crisis. Furthermore, lenders can provide forbearance and loan deferment programs to help consumers.  For lenders, credit risk scores, models, and attributes are the best ways to identify – and even predict - delinquency risk. The FICO® Resilience Index can also identify consumers who are particularly susceptible to delinquency risk directly due to macroeconomic uncertainty. This gives lenders the opportunity to evaluate their portfolios for loss and connect with consumers who may be in need of further support. What is the smartest next play for financial institutions?  SR: For financial institutions, the smart play is to add alternative data into their data-driven decisioning strategies as much as possible. Alternative data works to enhance your ability to see a consumer’s entire credit portfolio, which gives lenders the confidence to continue to lend – as well as the ability to track and monitor a consumer’s historical performance (which is a good indicator of whether or not a consumer has both the intention and ability to repay a loan). How will the new attribute subset list benefit financial institutions during this time?   SR: Experian’s series of crisis attributes is an example of attributes that can be predictive in times of a crisis. These lists were designed to follow the 3 E’s – Expand, Enhance, and provide Ease of use. Enhance – With these attributes, lenders aren’t limited to traditional data. These attributes allow lenders to look at the entirety of a consumer’s credit or repayment behavior and use more data to make better lending decisions. This becomes crucial in a challenging environment. Expand – This data can also help lenders identify consumers who are in the market for products and services, even if there the lending criteria becomes more stringent. This can open doors and new opportunities for 40-50 million new customers, particularly ones that may not fit initial lending criteria. Ease of Use – Experian has put together the most predictive elements that can identify consumer resilience and potential financial stress in this challenging economy. Experian is committed to helping your organization during times of uncertainty. For more resources, visit our Look Ahead 2020 Hub. Learn more Shawn M. Rife, Director of Risk Scoring, Experian Consumer Information Services, North America Shawn Rife manages Experian’s credit risk scoring models, focused on empowering clients to maximize the scope and influence of their lending universe - while minimizing risk - and complying with ever-changing regulatory standards. Shawn also leads the implementation of Alternative Data within the lending environment, as well as key product implementation initiatives. Prior to Experian, Shawn held key consumer insights and predictive analytics roles for Consumer Packaged Goods and internet companies. Over his career, Shawn has focused on market segmentation, competitive research, new product development and consumer advocacy. He also holds a Master’s degree from Harvard University and a Bachelor’s degree in Political Science and Economics.