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
This is the next article in our series about how to handle the economic downturn – this time focusing on how to prevent fraud in the new economic environment. We tapped two new experts—Chris Ryan, Market Lead, Fraud and Identity and Tischa Agnessi, Go-to-Market Lead, Decisioning Software—to share their thoughts on how to keep fraud out of your portfolio while continuing to lend. Q: What new fraud trends do you expect during the economic downturn? CR: Perhaps unsurprisingly, we tend to see high volumes of fraud during economic downturn periods. First, we anticipate an uptick in third-party fraud, specifically account takeover or ATO. It’ll be driven by the need for first-time users to be forced online. In particular, the less tech-savvy crowd is vulnerable to phishing attacks, social engineering schemes, using out-of-date software, or landing on a spoofed page. Resources to investigate these types of fraud are already strained as more and more requests come through the top of the funnel to approve new accounts. In fact, according to Javelin Strategy & Research’s 2020 Identity Fraud Study, account takeover fraud and scams will increase at a time when consumers are feeling financial stress from the global health and economic crisis. It is too early to predict how much higher the fraud rates will go; however, criminals become more active during times of economic hardships. We also expect that first party fraud (including synthetic identity fraud) will trend upwards as a result of the deliberate abuse of credit extensions and additional financing options offered by financial services companies. Forced to rely on credit for everyday expenses, some legitimate borrowers may take out loans without any intention of repaying them – which will impact businesses’ bottom lines. Additionally, some individuals may opportunistically look to escape personal credit issues that arise during an economic downturn. The line between behaviors of stressed consumers and fraudsters will blur, making it more difficult to tell who is a criminal and who is an otherwise good consumer that is dealing with financial pressure. Businesses should anticipate an increase in synthetic identity fraud from opportunistic fraudsters looking to take advantage initial financing offers and the cushions offered to consumers as part of the stimulus package. These criminals will use the economic upset as a way to disguise the fact that they’re building up funds before busting out. Q: With payment stress on the rise for consumers, how can lenders manage credit risk and prevent fraud? TA: Businesses wrestle daily with problems created by the coronavirus pandemic and are proactively reaching out to consumers and other businesses with fresh ideas on initial credit relief, and federal credit aid. These efforts are just a start – now is the time to put your recession readiness plan and digital transformation strategies into place and find solutions that will help your organization and your customers beyond immediate needs. The faceless consumer is no longer a fraction of the volume of how organizations interact with their customers, it is now part of the new normal. Businesses need to seek out top-of-line fraud and identity solutions help protect themselves as they are forced to manage higher digital traffic volumes and address the tough questions around: How to identify and authenticate faceless consumers and their devices How to best prevent an overwhelming number of fraud tactics, including first party fraud, account takeover, synthetic identity, bust out, and more. As time passes and the economic crisis evolves, we will all adapt to yet another new normal. Organizations should be data-driven in their approach to this rapidly changing credit crisis and leverage modern technology to identify financially stressed consumers with early-warning indicators, predict future customer behavior, and respond quickly to change as they deliver the best treatment at the right time based on customer-specific activities. Whether it’s preparing portfolio risk assessment, reviewing debt management, collections, and recovery processes, or ramping up your fraud and identity verification services, Experian can help your organization prepare for another new normal. Experian is continuing to monitor the updates around the coronavirus outbreak and its widespread impact on both consumers and businesses. We will continue to share industry-leading insights to help financial institutions differentiate legitimate consumers from fraudsters and protect their business and customers. Learn more About Our Experts [avatar user="ChrisRyan" /] Chris Ryan, Market Lead, Fraud and Identity Chris has over 20 years of experience in fraud prevention and uses this knowledge to identify the most critical fraud issues facing individuals and businesses in North America, and he guides Experian’s application of technology to mitigate fraud risk. [avatar user="tischa.agnessi" /] Tischa Agnessi, Go-to-Market Lead, Decisioning Software Tischa joined Experian in June of 2018 and is responsible for the go to market strategy for North America’s decisioning software solutions. Her responsibilities include delivering compelling propositions that are unique and aligned to markets, market problems, and buyer and user personas. She is also responsible for use cases that span the PowerCurve® software suite as well as application platforms, such as Decisioning as a ServiceSM and Experian®One.
The coronavirus (COVID-19) outbreak is causing widespread concern and economic hardship for consumers and businesses across the globe – including financial institutions, who have had to refine their lending and downturn response strategies while keeping up with compliance regulations and market changes. As part of our recently launched Q&A perspective series, Shannon Lois, Experian’s Head of DA Analytics and Consulting and Bryan Collins, Senior Product Manager, tackled some of the tough questions for lenders. Here’s what they had to say: Q: What trends and triggers should lenders be prepared to react to? BC: Lenders are still trying to figure out how to assess risk between the broader, longer-term impacts of the pandemic and the near-term Coronavirus Aid, Relief, and Economic Security (CARES) Act that extends relief funds and deferment to consumers and small businesses. Traditional lending processes are not possible, lenders will have to adjust underwriting strategies and workflows as they deploy hardship programs while complying with the Act. From a utilization perspective, lenders need to look for near-term trends on payments, balances and skipped payments. From an extension standpoint, they should review limits extended or reduced by other lenders. Critical trends to look for would be missed or late auto payments, non-traditional credit shopping and rental payment delinquencies. Q: What should lenders be doing to plan for an uptick in delinquencies? SL: First, lenders should make sure they have a complete picture of how credit risk and losses are evolving, as well as any changes to their consumers’ affordability status. This will allow a pointed refinement of their customer management strategies (I.e. payment holidays, changing customer to cheaper product, offering additional services, re-pricing, term amendment and forbearance management.) Second, given the increased stress on collection processes and regulations guidelines, they should ensure proper and prepared staffing to handle increased call volumes and that agency outsourcing and automation is enabled. Additionally, lenders should migrate to self-service and interactive communication channels whenever possible while adopting new segmentation schemas/scores/attributes based on fresh data triggers to queue lower risk accounts entering collections. Q: How can lenders best help their customers? SL: Lenders should understand customers’ profiles with vulnerability and affordability metrics allowing changes in both treatment and payment. Payment Holidays are common in credit card management, consider offering payment freezes on different types of credit like mortgage and secured loans, as well as short term workout programs with lower interest rates and fee suppression. Additionally, lenders should offer self-service and FAQ portals with information about programs that can help customers in times of need. BC: Lenders can help by complying with aspects of the CARES Act guidance; they must understand how to deploy payment relief and hardship programs effectively and efficiently. Data integrity and accuracy of loan reporting will be critical. Financial institutions should adjust their collection and risk strategies and processes. Additionally, lenders must determine a way to address the unbanked population with relief checks. We understand how challenging it is to navigate the changing economic tides and will continue to offer support to both businesses and consumers alike. Our advanced data and analytics can help you refine your lending processes and better understand regulatory changes. Learn more About Our Experts: Shannon Lois, Head of DA Analytics and Consulting, Experian Data Analytics, North America Shannon and her team of analysts, scientists, credit, fraud and marketing risk management experts provide results-driven consulting services and state-of-the-art advanced analytics, science and data products to clients in a wide range of businesses, including banking, auto, credit, utility, marketing and finance. Shannon has been a presenter at many credit scoring and risk management conferences and is currently leading the Experian Decision Analytics advisory board. Bryan Collins, Senior Product Manager, Experian Consumer Information Services, North America Bryan is a member of Experian's CIS product management team, focusing on the Acquisitions suite and our evolving Ascend Identity Services Platform. With more than 20 years of experience in the financial services and credit industries, Bryan has established strong partnerships and a thorough understanding of client needs. He was instrumental in the launch of CIS's segmentation suite and led product management for lender and credit-related initiatives in Auto. Prior to joining Experian, Bryan held marketing and consumer experience roles in consumer finance, business lending and card services.
This is the second in a series of blog posts highlighting optimization, artificial intelligence, predictive analytics, and decisioning for lending operations in times of extreme uncertainty. The first post dealt with optimization under uncertainty. The word "unprecedented" gets thrown around pretty carelessly these days. When I hear that word, I think fondly of my high school history teacher. Mr. Fuller had a sign on his wall quoting the philosopher-poet George Santayana: "Those who cannot remember the past are condemned to repeat it." Some of us thought it meant we had to memorize as many facts as possible so we wouldn't have to go to summer school. The COVID-19 crisis--with not only health consequences but also accompanying economic and financial impacts--certainly breaks with all precedents. The bankers and other businesspeople I've been listening to are rightly worried that This Time is Different. While I'm sure there are history teachers who can name the last time a global disaster led to a widescale humanitarian crisis and an economic and financial downturn, I'm even more sure times have changed a lot since then. But there are plenty of recent precedents to guide business leaders and other policymakers through this crisis. Hurricanes Katrina and Sandy impacted large regions of the United States, with terrible human consequences followed by financial ones. Dozens of local disasters—floods, landslides, earthquakes—devastated smaller numbers of people in equally profound ways. The Great Recession, starting in 2008, put millions of Americans and others around the world out of work. Each of those disasters, like this one, broke with all precedents in various ways. Each of those events was in many ways a dress rehearsal, as bankers and other lenders learned to provide assistance to distressed businesses and consumers, while simultaneously planning for the inevitable changes to their balance sheets and income statements. Of course, the way we remember the past has changed. Just as most of us no longer memorize dates--we search for them on the web--businesspeople turn to their databases and use analytics to understand history. I've been following closely as the data engineers and data scientists here at Experian have worked on perhaps their most important problem ever. Using Experian's Ascend Analytical Sandbox--named last year as the Best Overall Analytics Platform, they combed through over eighteen years of anonymized historical data covering every credit report in the United States. They asked--using historical experience, wisdom, time-consuming analytics, a little artificial intelligence, and a lot of hard work--whether predicting credit performance during and after a crisis is possible. They even considered scenarios regarding what happens as creditors change the way they report consumer delinquencies to the credit bureaus. After weeks of sleepless nights, they wrote down their conclusions. I've read their analysis carefully and I’m pleased to report that it says…Drumroll, please…Yes, but. Yes, it's possible to predict consumer behavior after a disaster. But not in precisely the same way those predictions are made during a period of economic growth. For a credit risk manager to review a lending portfolio and to predict its credit losses after a crisis requires looking at more data--and looking at it a little differently--than during other periods. Yes, after each disaster, credit scores like FICO® and VantageScore® credit scores continued to rank consumers from most likely to least likely to repay debts. But the interpretation of the score changes. Technically speaking, there is a substantial shift in the odds ratio that is particularly pronounced when a score is applied to subprime consumers. To predict borrower behavior more accurately, our scientists found that it helps to look at ten additional categories of data attributes and a few additional types of mathematical models. Yes, there are attributes on the credit report that help lenders identify consumer distress, willingness, and ability to pay. But, the data engineers identified that during times like these it is especially helpful to look beyond a single point in time; trends in a consumer's payment history help understand whether that customer is changing their typical behavior. Yes, the data reported to the credit bureaus is predictive, especially over time. But when expanded FCRA data is available beyond what is traditionally reported to a bureau, that data further improves predictions. All told, the data engineers found over 140 data attributes that can help lenders and others better manage their portfolio risk, understand consumer behavior, appreciate how the market is changing, and choose their next best action. The list of attributes might be indispensable to a credit data specialist whose institution needs to weather the coming storm. Because Experian knows how important it is to learn from historical precedents, we're sharing the list at no charge with qualified risk managers. To get the latest Experian data and insights or to request the Crisis Response Attributes recommendation, visit our Look Ahead 2020 page. Learn more
With new legislation, including the Coronavirus Aid, Relief, and Economic Security (CARES) Act impacting how data furnishers will report accounts, and government relief programs offering payment flexibility, data reporting under the coronavirus (COVID-19) outbreak can be complicated. Especially when it comes to small businesses, many of which are facing sharp declines in consumer demand and an increased need for capital. As part of our recently launched Q&A perspective series, Greg Carmean, Experian’s Director of Product Management and Matt Shubert, Director of Data Science and Modelling, provided insight on how data furnishers can help support small businesses amidst the pandemic while complying with recent regulations. Check out what they had to say: Q: How can data reporters best respond to the COVID-19 global pandemic? GC: Data reporters should make every effort to continue reporting their trade experiences, as losing visibility into account performance could lead to unintended consequences. For small businesses that have been negatively affected by the pandemic, we advise that when providing forbearance, deferrals be reported as “current”, meaning they should not adversely impact the credit scores of those small business accounts. We also recommend that our data reporters stay in close contact with their legal counsel to ensure they follow CARES Act guidelines. Q: How can financial institutions help small businesses during this time? GC: The most critical thing financial institutions can do is ensure that small businesses continue to have access to the capital they need. Financial institutions can help small businesses through deferral of payments on existing loans for businesses that have been most heavily impacted by the COVID-19 crisis. Small Business Administration (SBA) lenders can also help small businesses take advantage of government relief programs, like the Payment Protection Program (PPP), available through the CARES Act that provides forgiveness on up to 75% of payroll expenses and 25% of other qualifying expenses. Q: How do financial institutions maintain data accuracy while also protecting consumers and small businesses who may be undergoing financial stress at this time? GC: Following bureau recommendations regarding data reporting will be critical to ensure that businesses are being treated fairly and that the tools lenders depend on continue to provide value. The COVID-19 crisis also provides a great opportunity for lenders to educate their small business customers on their business credit. Experian has made free business credit reports available to every business across the country to help small business owners ensure the information lenders are using in their credit decisioning is up-to-date and accurate. Q: What is the smartest next play for financial institutions? GC: Experian has several resources that lenders can leverage, including Experian’s COVID-19 Business Risk Index which identifies the industries and geographies that have been most impacted by the COVID crisis. We also have scores and alerts that can help financial institutions gain greater insights into how the pandemic may impact their portfolios, especially for accounts with the greatest immediate exposure and need. MS: To help small businesses weather the storm, financial institutions should make it simple and efficient for them to access the loans and credit they need to survive. With cash flow to help bridge the gap or resume normal operations, small businesses can be more effective in their recovery processes and more easily comply with new legislation. Finances offer the support needed to augment currently reduced cash flows and provide the stability needed to be successful when a return to a more normal business environment occurs. At Experian, we’re closely monitoring the updates around the coronavirus outbreak and its widespread impact on both consumers and businesses. We will continue to share industry-leading insights to help data furnishers navigate and successfully respond to the current environment. Learn more About Our Experts Greg Carmean, Director of Product Management, Experian Business Information Services, North America Greg has over 20 years of experience in the information industry specializing in commercial risk management services. In his current role, he is responsible for managing multiple product initiatives including Experian’s Small Business Financial Exchange (SBFE), domestic and international commercial reports and Corporate Linkage. Recently, he managed the development and launch of Experian’s Global Data Network product line, a commercial data environment that provides a single source of up to date international credit and firmographic information from Experian commercial bureaus and Tier 1 partners across the globe. Matt Shubert, Director of Data Science and Modelling, Experian Data Analytics, North America Matt leads Experian’s Commercial Data Sciences Team which consists of a combination of data scientists, data engineers and statistical model developers. The Commercial Data Science Team is responsible for the development of attributes and models in support of Experian’s BIS business unit. Matt’s 15+ years of experience leading data science and model development efforts within some of the largest global financial institutions gives our clients access to a wealth of knowledge to discover the hidden ROI within their own data.
In the face of severe financial stress, such as that brought about by an economic downturn, lenders seeking to reduce their credit risk exposure often resort to tactics executed at the portfolio level, such as raising credit score cut-offs for new loans or reducing credit limits on existing accounts. What if lenders could tune their portfolio throughout economic cycles so they don’t have to rely on abrupt measures when faced with current or future economic disruptions? Now they can. The impact of economic downturns on financial institutions Historically, economic hardships have directly impacted loan performance due to differences in demand, supply or a combination of both. For example, let’s explore the Great Recession of 2008, which challenged financial institutions with credit losses, declines in the value of investments and reductions in new business revenues. Over the short term, the financial crisis of 2008 affected the lending market by causing financial institutions to lose money on mortgage defaults and credit to consumers and businesses to dry up. For the much longer term, loan growth at commercial banks decreased substantially and remained negative for almost four years after the financial crisis. Additionally, lending from banks to small businesses decreased by 18 percent between 2008-2011. And – it was no walk in the park for consumers. Already faced with a rise in unemployment and a decline in stock values, they suddenly found it harder to qualify for an extension of credit, as lenders tightened their standards for both businesses and consumers. Are you prepared to navigate and successfully respond to the current environment? Those who prove adaptable to harsh economic conditions will be the ones most poised to lead when the economy picks up again. Introducing the FICO® Resilience Index The FICO® Resilience Index provides an additional way to evaluate the quality of portfolios at any point in an economic cycle. This allows financial institutions to discover and manage potential latent risk within groups of consumers bearing similar FICO® Scores, without cutting off access to credit for resilient consumers. By incorporating the FICO® Resilience Index into your lending strategies, you can gain deeper insight into consumer sensitivity for more precise credit decisioning. What are the benefits? The FICO® Resilience Index is designed to assess consumers with respect to their resilience or sensitivity to an economic downturn and provides insight into which consumers are more likely to default during periods of economic stress. It can be used by lenders as another input in credit decisions and account strategies across the credit lifecycle and can be delivered with a credit file, along with the FICO® Score. No matter what factors lead to an economic correction, downturns can result in unexpected stressors, affecting consumers’ ability or willingness to repay. The FICO® Resilience Index can easily be added to your current FICO® Score processes to become a key part of your resilience-building strategies. Learn more
This is the first to a series of blog posts highlighting optimization, artificial intelligence, predictive analytics, and decisioning for lending operations in times of extreme uncertainty. Like all businesses, lenders are facing tremendous change and uncertainty in the face of the COVID-19 crisis. While focusing first on how to keep their employees and customers safe during the new normal, they are asking how to make data-driven decisions in this new environment. It’s only natural that business people are skeptical about whether analytics will work in a situation like today's – in which the data deviate from all historical precedents. Certainly, nobody predicted, for example, that the number of loans with forbearance requests would increase by over 1000% during each two-week period in March. Can anyone possibly make an optimized decision when things are changing so quickly and when so many things are unknown? Prescriptive analytics – also known as mathematical optimization – is the practice of developing a business strategy to achieve a business objective subject to capacity and other constraints, often using a demand forecast. For example, banks use optimization software to develop marketing and debt management strategies to run their lending operations. But what happens when the demand forecast might be wrong, when the constraints change quickly, and when decision-makers cannot agree on a single objective? The reality is that decisionmakers have to balance multiple competing objectives related to many different stakeholders. And, especially during the COVID-19 crisis and the period of change that will certainly follow, they have to do so in the face of uncertainty. Let's discuss some of the methods that analysts use to control risk while optimizing lending practices during times like these. These techniques, collectively known as robust optimization and robust statistics, help lenders and other business people deal with the uncomfortable reality that we do not know what the future holds. Consider a hypothetical bank or other lender servicing a portfolio of consumer loans and forecasting its loss performance in this environment. Management probably has several competing objectives: they want to improve service levels on their digital channel, they want to minimize credit and fraud losses, they're facing a reduced operating budget, and they're not certain how many employees they will have and which vendors will be able to provide adequate service levels. Furthermore, they anticipate new and unpredicted changes, and they need to be able to update their strategies quickly. The mathematics can be quite technical, but Experian’s Marketswitch Optimization is user-friendly software to help businesspeople--not engineers--design and deploy optimal strategies for practices such as Account Management and Loan Originations while facing such a dynamic and uncertain environment. The bank's business analysts (not computer specialists or mathematicians) will use techniques such as these: With Sensitivity Analysis, the analysts will explore the performance of their optimized Account Management, Collections, and Loan Originations strategies while considering possible changes in input variables. Optimization Scenarios with Uncertainty (technically known as Stochastic Optimization) allow the managers and analysts to design operational strategies that control risk, particularly the bank’s exposure to probabilistic and worst-case scenarios. Using Scenario Performance Analysis, the lender's team will validate and test their optimization scenarios against a variety of different data sets to understand how their strategies would perform in each case. Model Quality Evaluation techniques help the credit risk managers compare model predictions against actual performance during a quickly changing economy. Model impact analysis (related to Model Risk Management) helps senior leadership assess when it is time to invest in improving its statistical models. Robust Model Calibration Analysis removes unjustifiable variations in the lender's predictive models to make their predictions more valid as things change over time. These six advanced analytics techniques are especially helpful when developing business strategies for a time in which some values are unknown—including future unemployment levels, staffing budgets, data reporting practices, interest rates, and customer demands. Business decisions can—and arguably must—be optimized during times of uncertainty. But during times like these, it is especially important that the analysts understand how and why to account for the uncertainty in both the data and the models. Lenders, are you optimizing your servicing and debt management strategies? It has never been more important than now to do so--using the advanced techniques available to manage uncertainty mathematically. Learn more about how Marketswitch can help you solve complex business problems and meet organizational objectives. Learn more
Article written by Alex Lintner, Experian's Group President of Consumer Information Services and Sandy Anderson, Experian's Senior Vice President of Client and Sales Operations Many consumers are facing financial stress due to unemployment and other hardships related to the COVID-19 pandemic. Not surprisingly, data scientists at Experian are looking into how consumers’ credit scores may be impacted during the COVID-19 national emergency period as financial institutions and credit bureaus follow guidance from financial regulators and law established in Section 4021 of the Coronavirus Aid, Relief, and Economic Security Act (CARES Act). In a nutshell, Experian finds that if consumers contact their lenders and are granted an accommodation, such as a payment holiday or forbearance, and lenders report the accommodation accordingly, consumer scores will not be materially affected negatively. It’s not just Experian’s findings, but also those of the major credit scoring companies, FICO® and VantageScore®. FICO has reported that if a lender provides an accommodation and payments are reported on time consistent with the CARES Act, consumers will not be negatively impacted by late payments related to COVID-19. VantageScore® has also addressed this issue and stated that its models are designed to mitigate the impact of missed payments from COVID-19. At the same time, if as predicted, lenders tighten underwriting standards following 11 consecutive years of economic growth, access to credit for some consumers may be curtailed notwithstanding their score because their ability to repay the loan may be diminished. Regulatory guidance and law provide a robust response Recently, the Federal Reserve, along with the federal and state banking regulators, issued a statement encouraging mortgage servicers to work with struggling homeowners affected by the COVID-19 national emergency by allowing borrowers to defer mortgage payments up to 180-days or longer. The Federal Deposit Insurance Corporation stated that financial institutions should “take prudent steps to assist customers and communities affected by COVID-19.” The Office of the Comptroller of the Currency, which regulates nationally chartered banks, encouraged banks to offer consumers payment accommodations to avoid delinquencies and negative credit bureau reporting. This regulatory guidance was backed by Congress in passing the CARES Act, which requires any payment accommodations to be reported to a credit bureau as “current.” The Consumer Financial Protection Bureau, which has oversight of all financial service providers, reinforced the regulatory obligation in the CARES Act. In a statement, the Bureau said “the continuation of reporting such accurate payment information produces substantial benefits for consumers, users of consumer reports and the economy as a whole.” Moreover, the consumer reporting industry has a history of successful coordination during emergency circumstances, like COVID-19, and we’ve provided the support necessary for lenders to report accurately and consistent with regulatory guidance. For example, when a consumer faces hardship, a lender can add a code that indicates a customer or borrower has been “affected by natural or declared disaster.” If a lender uses this or a similar code, a notification about the disaster or other event will appear in the credit report with the trade line for the customer’s account and will remain on the trade line until the lender removes it. As a result, the presence of the code will not negatively impact the consumer credit score. However, other factors may impact a consumer’s score, such as an increase in a consumer’s utilization of their credit lines, which is a likely scenario during a period of financial stress. Suppression or Deletion of late payments will hurt, not help, credit scores In response to the nationwide impact of COVID-19, some lawmakers have suggested that lenders should not report missed payments or that credit bureaus should delete them. The presumption is that these actions would hold consumers harmless during the crisis caused by this pandemic. However, these good intentions end up having a detrimental impact on the whole credit ecosystem as consumer credit information is no longer accurately reflecting consumers’ specific situation. This makes it difficult for lenders to assess risk and for consumers to obtain appropriately priced credit. Ultimately, the best way to help is a consumer-specific solution, meaning one in which a lender reaches an accommodation with each affected individual, and accurately reflects that person’s unique situation when reporting to credit bureaus. When a consumer misses a payment, the information doesn’t end up on a credit report immediately. Most payments are monthly, so a consumer’s payment history with a financial institution is updated on a similar timeline. If, for example, a lender was required to suppress reporting for three months during the COVID-19 national emergency, the result would be no data flowing onto a credit report for three months. A credit report would therefore show monthly payments and then three months of no updates. The same would be true if a credit reporting agency were required to suppress or delete payment information. The lack of data, due to suppression or deletion, means that lenders would be blinded when making credit decisions, for example to increase a credit limit to an existing customer or to grant a new line of credit to a prospective customer. When faced with a blind spot, and unable to assess the real risk of a consumer’s credit history, the prudential tendency would be to raise the cost of credit, or to decrease the availability of credit, to cover the risk that cannot be measured. This could effectively end granting of credit to new customers, further stifling economic recovery and consumer financial health at a time when it’s needed most. Beyond the direct impact on consumers, suppression or deletion of credit information could directly affect the safety and soundness of the nation’s consumer and small business lending system. With missing data, lenders and their regulators would be flying blind as to the accurate information about a consumer’s risk and could result in unknowingly holding loan portfolios with heightened risk for loss. Too many unexpected losses threaten the balance of the financial system and could further seize credit markets. Experian is committed to helping consumers manage their credit and working with lenders on how best to report consumer-specific solutions. To learn more about what consumers can do to manage credit during the COVID-19 national emergency, we’ve provided resources on our website. For individuals looking to explore options their lenders may offer, we’ve included links to many of the companies and update them continuously. With good public policy and consumer-specific solutions, consumers can continue to build credit and help our economy grow.
In today’s rapidly changing economic environment, the looming question of how to reduce portfolio volatility while still meeting consumers' needs is on every lender’s mind. So, how can you better asses risk for unbanked consumers and prime borrowers? Look no further than alternative credit data. In the face of severe financial stress, when borrowers are increasingly being shut out of traditional credit offerings, the adoption of alternative credit data allows lenders to more closely evaluate consumer’s creditworthiness and reduce their credit risk exposure without unnecessarily impacting insensitive or more “resilient” consumers. What is alternative credit data? Millions of consumers lack credit history or have difficulty obtaining credit from mainstream financial institutions. To ease access to credit for “invisible” and subprime consumers, financial institutions have sought ways to both extend and improve the methods by which they evaluate borrowers’ risk. This initiative to effectively score more consumers has involved the use of alternative credit data.1 Alternative credit data is FCRA-regulated data that is typically not included in a traditional credit report and helps lenders paint a fuller picture of a consumer, so borrowers can get better access to the financial services they need and deserve. How can it help during a downturn? The economic environment impacts consumers’ financial behavior. And with more than 100 million consumers already restricted by the traditional scoring methods used today, lenders need to look beyond traditional credit information to make more informed decisions. By pulling in alternative credit data, such as consumer-permissioned data, rental payments and full-file public records, lenders can gain a holistic view of current and future customers. These insights help them expand their credit universe, identify potential fraud and determine an applicant’s ability to pay all while mitigating risk. Plus, many consumers are happy to share additional financial information. According to Experian research, 58% say that having the ability to contribute positive payment history to their credit files makes them feel more empowered. Likewise, many lenders are already expanding their sources for insights, with 65% using information beyond traditional credit report data in their current lending processes to make better decisions. By better assessing risk at the onset of the loan decisioning process, lenders can minimize credit losses while driving greater access to credit for consumers. Learn more 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.
Originally posted by Experian Global News blog At Experian, we have an unwavering commitment to helping consumers and clients manage through this unprecedented period. We are actively working with consumers, lenders, lawmakers and regulators to help mitigate the potential impact on credit scores during times of financial hardship. In response to the urgent and rapid changes associated with COVID-19, we are accelerating and enhancing our financial education programming to help consumers maintain good credit and gain access to the financial services they need. This is in addition to processes and tools the industry has in place to help lenders accommodate situations where consumers are affected by circumstances beyond their control. These processes will be extended to those experiencing financial hardship as a result of COVID-19. As the Consumer’s Credit Bureau, our commitment at Experian is to inform, guide and protect our consumers and customers during uncertain times. With expected delays in bill payments, unprecedented layoffs, hiring freezes and related hardships, we are here to help consumers in understanding how the credit reporting system and personal finance overall will move forward in this landscape. One way we’re doing this is inviting everyone to join our special eight-week series of #CreditChat conversations surrounding COVID-19 on Wednesdays at 3 p.m. ET on Twitter. Our weekly #CreditChat program started in 2012 to help the community learn about credit and important personal finance topics (e.g. saving money, paying down debt, improving credit scores). The next several #CreditChats will be dedicated to discussing ways to manage finances and credit during the pandemic. Topics of these #CreditChats will include methods and strategies for bill repayment, paying down debt, emergency financial assistance and preparing for retirement during COVID-19. “As the consumer’s credit bureau, we are committed to working with consumers, lenders and the financial community during and following the impacts of COVID-19,” says Craig Boundy, Chief Executive Officer of Experian North America. “As part of our nation’s new reality, we are planning for options to help mitigate the potential impact on credit scores due to financial hardships seen nationwide. Our #CreditChat series and supporting resources serve as one of several informational touchpoints with consumers moving forward.” Being fully committed to helping consumers and lenders during this unprecedented period, we’ve created a dedicated blog page, “COVID-19 and Your Credit Report,” with ongoing and updated information on how COVID-19 may impact consumers’ creditworthiness and – ultimately – what people should do to preserve it. The blog will be updated with relevant news as we announce new solutions and tactics. Additionally, our “Ask Experian” blog invites consumers to explore immediate and evolving resources on our COVID-19 Updates page. In addition to this guidance, and with consumer confidence in the economy expected to decline, we will be listening closely to the expert voices in our Consumer Council, a group of leaders from organizations committed to helping consumers on their financial journey. We established a Consumer Council in 2009 to strengthen our relationships and to initiate a dialogue among Experian and consumer advocacy groups, industry experts, academics and other key stakeholders. This is in addition to ongoing collaboration with our regulators. Additionally, our Experian Education Ambassador program enables hundreds of employee volunteers to serve as ambassadors sharing helpful information with consumers, community groups and others. The goal is to help the communities we serve across North America, providing the knowledge consumers need to better manage their credit, protect themselves from fraud and identity theft and lead more successful, financially healthy lives. COVID-19 has impacted all industries and individuals from all walks of life. We want our community to know we are right there with you. Learn more about our weekly #CreditChat and upcoming schedule here. Learn more
There are more than 100 million people in the United States who don’t have a fair chance at access to credit. These people are forced to rely on high-interest credit cards and loans for things most of us take for granted, like financing a family car or getting an apartment. At Experian, we have a fundamental mission to be a champion for the consumer. Our commitment to increasing financial inclusion and helping consumers gain access to the financial services they need is one of the reasons we have been selected as a Fintech Breakthrough Award winner for the third consecutive year. The Fintech Breakthrough Awards is the premier awards program founded to recognize the fintech innovators, leaders and visionaries from around the world. The 2020 Fintech Breakthrough Award program attracted more than 3,750 nominations from across the globe. Last year, Experian took home the award for Best Overall Analytics Platform for our Ascend Analytical Sandbox™, a first-to-market analytics environment that promised to move companies beyond just business intelligence and data visualization to data insights and answers they could use. The year prior, Experian won the Consumer Lending Innovation Award for our Text for Credit™ solution, a powerful tool for providing consumers the convenience to securely bypass the standard-length ‘pen & paper’ or keystroke intensive credit application process while helping lenders make smart, fraud protected lending decisions. This year, we are excited to announce that Experian has been selected once again as a winner in the Consumer Lending Innovation category for Experian Boost™. Experian Boost – with direct, active consumer consent – scans eligible accounts for ‘boostable’ positive payment data (e.g., utility and telecom payments) and provides the means for consumers to add that data to their Experian credit reports. Now, for the very first time, millions of consumers benefit from payments they’ve been making for years but were never reflected on their credit reports. Since launching in March 2019, cumulatively, more than 18 million points have been added to FICO® Scores via Experian Boost. Two-thirds of consumers who completed the Experian Boost process increased their FICO Score and among these, the average score increase has been more than 13 points, and 12% have moved up in credit score category. “Like many fintechs, our goal is to help more consumers gain access to the financial services they need,” said Alex Lintner, Group President of Experian Consumer Information Services. “Experian Boost is an example of our mission brought to life. It is the first and only service to truly put consumers in control of their credit. We’re proud of this recognition from Fintech Breakthrough and the momentum we’ve seen with Experian Boost to date.” Contributing consumer payment history to an Experian credit file allows fintech lenders to make more informed decisions when examining prospective borrowers. Only positive payment histories are aggregated through the platform and consumers can remove the new data at any time. There is no limit to how many times one can use Experian Boost to contribute new data. For more information, visit Experian.com/Boost.
If there is one word to describe the automotive finance market in Q4 2019, it’s stable. By nearly every measure, the automotive finance market continued to move along at a good pace.
Last week, artificial intelligence (AI) made waves in the news as the Vatican and tech giants signed a statement with a set of guidelines calling for ethical AI. These ethical concerns arose as the usage of artificial intelligence continues to increase in all industries – with the market for AI technology projected to reach $190.61 billion by 2025, according to a report from MarketsandMarkets™. In the “Rome Call for Ethics,” these new principles require that AI systems must adhere to ethical AI guidelines to protect basic human rights. The doctrine says AI must be developed with a focus on protecting and serving humanity, and that all algorithms should be designed by the principles of transparency, inclusion, responsibility, impartiality, reliability, security and privacy. In addition, according to the document, organizations must consider the “duty of explanation” and ensure that decisions made as a result of these algorithms are explainable, transparent and fair. As artificial intelligence becomes increasingly used in many applications and ingrained into our everyday lives (facial recognition, lending decisions, virtual assistants, etc.), establishing new guidelines for ethical AI and its usage has become more critical than ever. For lenders and financial institutions, AI is poised to shape the future of banking and credit cards. AI is now being used to generate credit insights, reduce risk and make credit more widely available to more credit-worthy consumers. However, one of the challenges of AI is that these algorithms often can’t explain their reasoning or processes. That’s why AI explainability, or the methods and techniques in AI that make the results of the solution understandable by human experts, remains a large barrier for many institutions when it comes to AI adoption. The concept of ethical AI goes hand-in-hand with Regulation B of the Equal Opportunity Act (ECOA), which protects consumers from discrimination in any aspect of a credit transaction and requires that consumers receive clear explanations when lenders take adverse action. Adverse action letters, which are intended to inform consumers on why their credit applications were denied, must be transparent and incorporate reasons on why the decision was made – in order to promote fair lending. While ethical AI has made recent headlines, it’s not a new concept. Last week’s news highlights the need for explainability best practices for financial institutions as well as other organizations and industries. The time is now to implement these guidelines into algorithms and business processes of the present and future. Join our upcoming webinar as Experian experts dive into fair lending with ethical and explainable AI. Register now
Security. Convenience. Personalization. Finding the balance between these three priorities is key to creating a safe and low-friction customer experience. We surveyed more than 6,500 consumers and 650 businesses worldwide about these priorities for our 2020 Global Identity and Fraud Report: Most business are focusing on personalization, specifically in relation to upselling and cross-selling. This is frustrating customers who are looking for increases in both security and convenience. It’s possible to have all three. Read Full Report
Update: After closely monitoring updates from the WHO, CDC, and other relevant sources related to COVID-19, we have decided to cancel our 2020 Vision Conference. If you had the chance to experience tomorrow, today, would you take it? What if it meant you could get a glimpse into the future technology and trends that would take your organization to the next level? If you’re looking for a competitive edge – this is it. For more than 38 years, Experian’s premier conference has connected business leaders to data-driven ideas and solutions, fueling them to target new markets, grow existing customer bases, improve response rates, reduce fraud and increase profits. What’s in it for you? Everything to gain and nothing to lose. Are you a marketer? These sessions were made to drive your conversion rates to new heights: Know your customers via omnichannel marketing: Your customers are everywhere, but can you reach them? Learn how to drive business-expansion strategy, brand affinity and customer engagement across multiple channels. Plus, gain insight into connecting with customers via one-to-one messaging. By invitation only, the future of ITA marketing: An evolving landscape means marketers face new challenges in effectively targeting consumers while staying compliant. In this session, we’ll explore how you can leverage fair lending-friendly marketing data for targeting, analysis and measurement. Want the latest in technology trends? Dive into discussions to transform your customer experience: Credit in the age of technology transformation: Machine learning and artificial intelligence are the current darlings of big data, but the platform that drives the success of any big data endeavor is crucial. This session will dive into what happens behind the curtain. Put away your plastic – next-generation identity: An industry panel of experts discusses the newest digital identity and authentication capabilities – those in use today and also exciting solutions on the horizon. How about for the self-proclaimed data geeks? Analyze these: Alternative data: Listen in on an in-depth conversation about creative and impactful examples of using emerging data assets, such as alternative and consumer-permissioned data, for improved consumer inclusion, risk assessment and verification services. The next wave in open data: Experian will share their views on the potential of advanced data and models and how they benefit the global value chain – from consumer scores to business opportunities – regardless of local regulations. And the risk masters? Join us as we kick fraud to the curb: Understanding and tackling synthetic ID fraud: Synthetic IDs present a serious challenge for our entire industry. This expert panel will explore the current landscape – what’s working and what’s not, the expected impact of the next generation SSA eCBSV service, and best practice prevention methods. You are your ID – the new reality of biometrics: Consumers are becoming increasingly comfortable with biometrics. Just as CLEAR has transformed how we use our biometric identity to move through airports, sports venues and more, financial transactions can also be made friction-free. The point is, there’s something for everyone at Vision 2020. It’s not just another conference. Trade in stuffy tradeshow halls and another tri-fold brochure for the insights and connections you need to take your career and organization to the next level. Like technology itself, Vision 2020 promises to connect us, unify us and enable us all to create a better tomorrow. Join us for unique networking opportunities, one-on-one conversations with subject-matter experts and more than 50 breakout sessions with the industry’s most sought-after thought leaders.