When running a credit report on a new applicant, you must ensure Fair Credit Reporting Act (FCRA) compliance before accessing, using and sharing the collected data. The Coronavirus Aid, Relief, and Economic Security (CARES) Act has impacted credit reporting under the FCRA, as has new guidance from the Consumer Financial Protection Bureau (CFPB). Recent updates include: The CARES Act amended the FCRA to require furnishers who agree to an “accommodation,”1 to report the account as current, although it is permitted to continue to report the account as delinquent if the account was delinquent before the accommodation was made. Although not legally obligated, data furnishers should continue furnishing information to the credit reporting agencies (CRAs) during the COVID-19 crisis, and make sure that information reported is complete and accurate. Below is a brief FCRA-related compliance overview2 covering various FCRA requirements3 when requesting and using consumer credit reports for an extension of credit permissible purpose. For more information regarding your responsibilities under the FCRA as a user of consumer reports, please consult your Legal Counsel and the Notice to Users of Consumer Reports: Obligations of Users Under the FCRA handbook located on our website. Before obtaining a consumer report you have…  Reviewed your federal and state regulations and laws related to consumer reports, scores, decisions, etc.  Made sure you have a valid permissible purpose for pulling the consumer report.  Certified compliance to the CRA from which you are getting the consumer report. You have certified that you complied with all the federal and state requirements. After you take an adverse action based on a consumer report you… Provide the consumer with an oral, written or electronic notice of the adverse action. Provide written or electronic disclosure of the numerical credit score used to take the adverse action, or when providing a “risk-based pricing” notice. Provide the consumer with an oral, written or electronic notice, which includes the below information:  Name, address and telephone number of CRA that supplied the report, if nationwide. A statement that the CRA did not make the adverse decision and therefore can’t explain why the decision was made.  Notice of the consumer’s right to a free copy of their report from the CRA, if requested within 60 days.  Notice of the consumer’s right to dispute with the CRA the accuracy or completeness of any information in a consumer report provided by the CRA. Provide the consumer with a “risk-based pricing” notice if credit was granted but on less favorable terms based on information in their consumer report. We understand how challenging it is to understand and meet all your obligations as a data furnisher – we’re here to make it a little easier. Click below to speak with a representative and gain more insight on how the CARES Act impacts FCRA reporting. Download overview Speak with a representative 1An “accommodation” is defined as “an agreement to defer one or more payments, make a partial payment, forbear any delinquent amounts, modify a loan or contract, or any other assistance or relief” granted to a consumer affected by COVID-19 during the covered period. 2This FCRA overview is not legal guidance and does not enumerate all your requirements under the FCRA as a user of consumer reports. Additionally, this FCRA Overview is not intended to provide legal advice or counsel you regarding your obligations under the FCRA or any other federal or state law or regulation. Should you have any questions about your institution’s specific obligations under the FCRA or any other federal or state law or regulation, you should consult with your Legal Counsel. 3This FCRA overview is intended to be used solely by financial service providers when extending credit to consumers and does not include all FCRA regulatory obligations. You are responsible for regulatory compliance when requesting and using consumer reports, which includes adhering to all applicable federal and state statutes and regulations and ensuring that you have the correct policies and procedures in place.

There is no doubt that there will be many headlines published about the latest Bureau of Labor Statistics (BLS) jobs report. The official unemployment rate spiked to 14.7%, the highest level since the Great Depression, and employers shed an unprecedented 20.5 million jobs. However, given the scale and pace that businesses around the country are adjusting their workforces, these headline numbers – especially the official unemployment rate – fall short in capturing the nuances and internal dynamics of the crisis. To get a better picture of labor market health in the coming months, there are three other components reported in BLS’s employment release that require close attention: the underemployment rate, the labor force participation rate, and the employment-population ratio. Tracking underemployment The BLS reports six unemployment figures in its monthly employment release, U1 – U6. The most cited is the “official” unemployment rate, which is U3. However, in the current crisis, the more salient measure of unemployment is U6, which is often known as the “underemployment” rate. This is because the underemployment (U6) rate takes the unemployed and adds on part-time workers who want a full-time job (BLS calls this segment “part time for economic reasons”), plus marginally attached and discouraged workers (those who don’t think they can find work). Viewing the employment landscape through this lens provides greater insight into the pain points within the labor market. In April, the underemployment rose from 8.7% to 22.8% - the largest jump on record. A large contributor to the rise was a doubling of the number of part-time workers that wanted a full-time job. Mirroring what happened in previous downturns, the rise in this segment was caused by employers downshifting workers into part-time roles. The official unemployment rate will miss this insight as it classifies everyone who is working as “employed”, regardless if they worked one hour or 100 hours. Trends in the underemployment rate will be especially important to watch as the recovery gets underway. If employers are doubtful of a strong rebound, they may keep employees on as part time and forgo filling any full-time positions. Who’s in and who’s out of the labor force The labor force participation rate is the percentage of the working-age population (aged 16+) that is employed or searching for a job. A decline in the labor force participation rate means that people are leaving the workforce and are no longer looking for employment. April’s employment report showed labor force participation declining from 62.7% to 60.2%. Teenage participation was especially hard hit, dropping from 35.5% to 30.8% - the lowest level since the government started collecting the data in 1948. During the recovery phase, tracking what happens with labor force participation will provide insight into how potential workers perceive their chances of landing a job and if it is safe to return. A healthy (or improving) labor market will bring people off the sidelines in search of work, while a weak labor market will do the opposite. Get a clearer view with the employment-population ratio In the current environment where people are bouncing rapidly between employed, unemployed, underemployed, and out of the labor force, tracking the employment-population ratio provides a more stable baseline to view the economic environment. The latest data shows that the employment-population ratio dropped to the lowest level on record of 51.3% in April. This means that only half of people who are of working age in the U.S. are currently employed in some form. Unlike the unemployment rate, which is calculated by dividing the number of unemployed workers by the labor force and thus subject to more variation as people start and stop looking for work, the employment to population ratio is the percentage of the total working-age population that is currently employed. By having a more stable baseline, it is easier to locate trends and see through the market gyrations. And finally, why it matters The labor market is the backbone of the economy and is the engine that powers the US consumer. But the ongoing crisis and rapid reallocation of the workforce has made it difficult to get a clear picture on what is happening at the ground level. By going beyond the headlines, businesses and financial institutions can glean nuanced insights that provide a better view of where the opportunities lie and how the recovery is likely to unfold. Learn more

This week, Experian released a new version of our CrossCore® digital identity and fraud risk platform, adding new tools and functionality to help businesses quickly respond to today’s emerging fraud threats. The ability to confidently recognize your customers and safeguard their digital transactions is becoming an increasing challenge for businesses. Fraud threats are already rising across the globe as fraudsters take advantage of the global health crisis and rapidly shifting economic conditions. CrossCore combines risk-based authentication, identity proofing and fraud detection into a single cloud platform, which means businesses can more quickly respond to an ever-changing environment. And with flexible decisioning orchestration and advanced analytics, businesses can make real-time risk decisions throughout the customer lifecycle. “Now more than ever, businesses need to lean on capabilities and technology that will allow them to rapidly respond in these challenging times, increase identity confidence in every transaction, and provide a safe and convenient experience for customers,” said E.K. Koh, Experian’s Senior Vice President of Global Identity & Fraud Solutions in a recent press release. “This new CrossCore release enables businesses to easily leverage best-in-class, pre-integrated identity and fraud services through simple self-service.” This new version of CrossCore features a cloud architecture, modern user interface, progressive risk assessments, faster response times, self-service workflow configuration, and a transactional volume reporting dashboard. These enhancements give you a simpler way to manage how backing applications are utilized, allow you to analyze key performance indicators in near real-time, and empower you to catch more fraud faster - without impacting the customer experience. “Recent Aite Group research shows that many banks have seen digital channel usage increase 250% in the wake of the pandemic, so ensuring a seamless and safe customer experience is more important than ever,” said Julie Conroy, Research Director at Aite Group. “Platforms such as CrossCore that can enable businesses to nimbly respond to changing patterns of customer behavior as well as rapidly evolving attack tactics are more important than ever, as financial services firms work to balance fraud mitigation with the customer experience.” CrossCore is the first identity and fraud platform that enables you to connect, access, and orchestrate decisions across multiple solutions. With the newest version, Experian enhances your ability to consolidate numerous fraud risk signals into a single, holistic assessment to improve operational processes, stay ahead of fraudsters, and protect your customers. Read Press Release Learn More About CrossCore

One of the most difficult parts of combating fraud is the ability to distinguish between the variety of fraud types. To properly manage your fraud efforts, you need to be able to differentiate between first party fraud and third party fraud so you can determine the best treatment. After all, if you’re treating first party fraud as though it’s third party fraud, the customer you’re contacting for verification will give whatever information they need to in order to continue their criminal actions. So how do you verify each type of fraud without adding additional overhead or increasing the friction experienced by your customers? Combating Fraud During an Economic Downturn Particularly in times of economic uncertainty, the ability to detect and identify individual fraud types allows you to work to prevent them in the future. Through proper identification, you can also apply the correct treatments to maximize the effectiveness of your fraud response teams, since the treatment for first and third party fraud is different. During the economic upswing, first party fraud was a secondary concern. Businesses were easing friction to help continue growth. Now, the same customers that businesses thought would drive growth are hurting and unable to help offset the losses caused by bad actors. Now is the time to revisit existing fraud prevention and mitigation strategies to ensure that fraud is properly identified, and the correct treatments are applied. Introducing Precise ID® Model Suite Experian’s Precise ID Model Suite combines identity analytics with advanced fraud risk models to: Protect the entire customer journey again fraud – across account opening, login, maintenance and transactions Distinguish first-party, third-party, and synthetic identity fraud to determine the best next action Enable agility during changing market conditions Maintain regulatory compliance (including: KYC, CIP, GLBA, FCRA, FFIEC, PATRIOT Act, FACTA, and more) Improve overall fraud management strategies and reduce losses Precise ID Model Suite allows you to detect and distinguish types of fraud with a single call – enabling your business to maximize efficiency and eliminate redundancy across your fraud prevention teams. By accurately recognizing risk, and in particular, recognizing that first party fraud is in fact a type of fraud distinct from credit risk, you’re able to protect your portfolio and your customers. Learn more

Amid the fallout of COVID-19, I often find myself thinking about the impact the pandemic has had and will have on businesses in the coming months—particularly those within the automotive industry. The impact has reached all facets of the industry, leaving dealerships to take unprecedented action. Some have temporarily closed, while many have shifted business priorities to focus on maintenance and repair. Like everyone, we in the automotive industry are concerned about the health and safety of our family, friends and communities.  Much like the rest of small business owners, those that oversee dealerships are also concerned about the wellbeing of their work families. The automotive industry is a pillar of our economy, and dealerships are staples within our local communities. Experian has an unwavering commitment to help the industry navigate these uncertain times and address challenges as they arise. The pandemic has impacted groups of people differently and at different times. It’s important for those within the automotive industry to understand how consumer sentiment and priorities will shift over the coming months, in order to address their most pressing needs. As such, Experian launched a daily survey of the general population to gain insight into shifting consumer sentiment as a result of the pandemic. The survey reveals how consumers are dealing with the outbreak across key industries, including automotive. As of May 4, 2020, only 20 percent of Americans plan on buying a new car, truck, van or motorcycle within the next few months, and of those, only 50 percent plan to continue the purchase as planned. 26 percent plan to delay the purchase a few months. While car shopping may not be a priority for most in the coming months, there are consumers who will need to replace their vehicle sooner rather than later—perhaps their lease is set to expire, or they’ve experienced car trouble. In these instances, it’s important for dealers to be able to connect with these consumers to help them understand the options available to them. With this urgency in mind, Experian is providing dealers with complimentary access to nationwide and local automotive market trends. The information will be updated weekly to help dealers gain insight into current sales trends and website traffic, better understand in-market car shoppers and identify the most effective communications channels. For instance, during the week of April 27, dealer website traffic was down 11 percent from the same time last year. That said, web site traffic has picked back up over the past few weeks.. With the short- and long-term impacts of the pandemic largely unknown, dealerships must adapt quickly. Consumers' vehicle needs will shift based on circumstance, and it’s important for dealers to continually assess the market. We are all adapting to our new environment, and will need to collaborate to find ways to combat the fallout—it’s a difficult time for many, including dealers. The automotive market will recover, and Experian is committed to helping the automotive industry navigate the recovery and ensure car shoppers can find vehicles that meet their needs. To view the Automotive Trends & Marketing Insights and sign up to receive your complimentary local market trends, click here. To view the Consumer Sentiment Index, click here.

The effects of the COVID-19 pandemic has created extreme volatility in the US markets. While the high unemployment rate and impact on the stock market can be attributed to the pandemic, there were signs that the economy was already headed for a downturn. In a recent webinar, Mohammed Chaudhri, Experian’s UK Chief Economist, stated, “Even in the absence of COVID-19, […] the consensus was that the US was going into a period of a slowdown. Talks of a recession were building and financial indicators all pointed to an inverse yield curve.” With a global recession on the horizon, economists are using different scenarios to forecast potential outcomes. Chaudhri and his team of Experian economists mapped out four macroeconomic scenarios for economic recovery: V-shape scenario: A scenario in which the U.S. is able to recover losses and is able to recover quickly – possibly within 3 months. The impacts of strict lockdowns and social distancing may allow for a V-shape recovery. This V-shape follows previous pandemics and is the most likely outcome. Delayed V-shape scenario: A scenario in which the economy bounces back (albeit much slower than a regular V-shape). This may occur as various states slowly lift their lockdown guidelines and return to business as usual. This delay can be caused by regulations and guidelines that vary from state to state. U-shape scenario: A scenario in which the U.S. is unable to return to pre-COVID-19. W-shape scenario: A scenario that is much more serious than a U-shape and has the greatest impact on the economy. This can occur if the state lockdowns are lifted too early and a reemergence of the virus occurs. In our latest on-demand webinar, our experts discuss current trends which are indicative of emerging patterns and highlight economic forecasts that show some immediate concentrations of risk and exposure and the implications for your organization. Take a deeper dive into the latest data insights relating to the credit economy, and specifically, the impact brought by COVID-19. Explore the macroeconomic outlook, including: The immediate and near-term economic impact Views on how a downturn could impact consumers’ affordability and emerging signs of vulnerability Views on what KPIs you should focus on Watch the webinar

Last week, the unemployment rate soared past 20%, with over 30 million job losses attributed to the COVID-19 pandemic. As a result, many consumers are facing financial stress, which has raised many questions and discussions around how credit history and reporting should be treated at this time. Since the initial start of the pandemic, credit reporting companies and data furnishers have been put under the spotlight to ensure that consumers are able to get the assistance that they need. Numerous questions and concerns have also been raised around the extent of which consumers have access to fair and affordable credit. On March 27th, 2020, Congress signed the Coronavirus Aid, Relief, and Economic Security (CARES) Act into law, which was a bill created to provide support and relief for American workers, families, and small businesses. This newly proposed Act also provides guidelines on how creditors and data furnishers should report information to credit bureaus, to ensure that lenders remain flexible as consumers navigate the current pandemic. The Act requires that creditors must provide “accommodations” to consumers affected by COVID-19 during “covered periods.” According to the National Credit Union Administration, “The CARES Act requires credit reporting agency data providers, including credit unions, to report loan modifications resulting from the COVID-19 pandemic as ‘current’ or as the status reported before the accommodation unless the consumer becomes current,” as stated in Section 4021. Section 4021 of the CARES Act also provides other guidelines for accurate data reporting. During this time, lenders can use attributes to determine risk during COVID-19. Attributes within custom scores can also capture consumer behavior and help lenders determine the best treatments. Payment attributes, debt burden attributes, inquiry attributes, credit extensions and originations are all key indicators to keep an eye on at this time as lenders monitor risk in their portfolios. Listen in as our panel of experts explore the areas related to data reporting that impact you the most. In addition to a regulatory update and discussions around programs to help support consumers and businesses, we’ll also review what other lenders are doing and early indicators of credit trends. You’ll also be able to walk away with key strategies around what your organization can do right now. Discover the latest information on: Data reporting and CDIA regulations Regulatory updates, including the CARES Act, a breakdown of Section 4021, and guidelines to remember Credit attribute trends and highlights, treatment of scores and attributes, as well as recommended attributes Watch the webinar

After two consecutive emergency meetings in March and numerous stimulus announcements, the Federal Open Market Committee (FOMC) finally got back on track and wrapped up their standard two-day meeting on April 29th. While Fed officials did not make any changes to the federal funds rate – which is currently sitting near zero - or to the level of purchases of treasuries and mortgage-backed securities, they did provide a glimpse into how long rates are likely to remain at their current levels. Hint: It is going to be a while. Understanding the Fed’s statement   In order to get a clearer picture of what the Fed is thinking, skip the headlines and go straight to the source – the post-meeting press release. Here is the most important paragraph from their statement (with the key components underlined): “The ongoing public health crisis will weigh heavily on economic activity, employment, and inflation in the near term, and poses considerable risks to the economic outlook over the medium term. In light of these developments, the Committee decided to maintain the target range for the federal funds rate at 0 to 1/4 percent. The Committee expects to maintain this target range until it is confident that the economy has weathered recent events and is on track to achieve its maximum employment and price stability goals.” Just by taking the statement at face value, it is clear the Fed is going to keep rates where they are for some time, but for how long? That depends on how the key phrases are interpreted. The first, “over the medium term”, seems simple but requires some detective work. What does “medium term” mean? In the post-meeting press conference, the Fed Chairman was asked this question and he alluded that it likely means a year or more. So, there is part 1 - the Fed expects to keep rates near zero for at least a year. That is not all that surprising, but it does provide a floor: a minimum timeframe. Key phrase 2, however, requires a bit more effort but is where the real story lives. The dual mandate is no longer a balancing act “The Committee expects to maintain this target range until it is confident that the economy has weathered recent events and is on track to achieve its maximum employment and price stability goals.” There is a lot of economics in that sentence. The Fed has been mandated by Congress to achieve two primary goals – maximum employment and price stability (inflation near 2%). These two goals, or the “dual mandate” as they are often referred to, seem simple but have historically been at odds. The thinking went that if the Fed kept interest rates low to support employment, then inflation would rise. And if the Fed increased interest rates to control inflation, then employment would decline. A delicate balance - at least it was thought. Somewhere in the last couple of years Fed officials have realized that even after a decade of near-zero interest rates following the financial crisis and very-low levels of unemployment, inflation has remained persistently below their 2% target. Something has broken in the relationship. This is key, because it means that the Fed now feels free to keep interest rates exceptionally low in order to get employment back on track, without having to worry about inflation; and may in fact need to keep rates lower for longer in order to boost inflation. Both sides of the dual mandate now appear to require low rates. Chasing “maximum employment” With inflation no longer a priority for Fed officials at the moment, their sights are set squarely on achieving the maximum employment portion of the mandate. But what does it mean to achieve “maximum employment”? Well, it is an elusive target, but in general, it is the point at which rising wages leads to higher inflation – the result of businesses increasing pay to compete for a shrinking supply of workers. What is known is that even when the unemployment rate was at a 50-year low of 3.5% in early 2020, wages were not rising much. Which indicates that the economy may have been near maximum employment but was not quite there yet. So, to achieve maximum employment, unemployment needs to be somewhere near 3.5% and that could take some time, a long time. Current range estimates show the unemployment rate rising to anywhere between 12 – 30% in the coming months. And a recent report out of the Congressional Budget Office projected that unemployment will still be around 9.5% at the end of 2021. The last time the unemployment rate was at 9.5% was right after the financial crisis, and from that point it took nearly a decade for the rate to fall to 3.5%. And while it is not expected that the current crisis will be as prolonged as the previous one, it still provides a reference point as to how long it can take to recover job losses. So how long does the Fed expect to keep rates near zero? One year at the very minimum, easily two years, and perhaps up to a decade.

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

Essential personnel and organizations are working tirelessly to deliver food and other resources, not to mention, protecting the health and safety of those around us. These vehicles still require proper maintenance and care to ensure they run smoothly. That’s where the automotive industry can help.

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.

  Many small businesses in the hardest-hit states missed out on the first round of federal relief through the recently created Paycheck Protection Program (PPP). The Coronavirus Aid, Relief, and Economic Security (CARES) Act established the PPP in order to disburse $349 billion in forgivable loans to small businesses hurt by the COVID-19 outbreak. However, the program’s funding limit and first-come, first-serve method for accepting loan applications put an immense strain on the financial institutions tasked with getting the money out the door. This resulted in many small businesses unable to get their applications submitted, approved, and funded before the program ran out of money after only two weeks. Where did the money go? The latest data from the Small Business Administration shows that the most populous states received the largest number of PPP loans. This is unsurprising, as states with higher populations tend to have a greater number of small businesses. One way to get a better picture of the impact of PPP loans on communities is to examine what percentage of a state’s small businesses received PPP loans (Figure 1). When viewed through this lens, the results are a quite striking - many of the coastal areas and larger markets missed out, while the rural, north-central states won out. Less than 4% of small businesses in California, Florida, and New York – three of the top five largest markets – were approved for PPP loans. While more than 12% of small businesses in North Dakota, Nebraska, and South Dakota received support.       What happened? There are several factors that could have played a part in the uneven distribution of PPP loans. One explanation may be that some financial institutions in highly populated urban areas did not have the capacity to process such a large volume of loan applications in such a short amount of time. There may also be an urban-rural divide to how relationship banking occurs. Rural communities and small businesses with close-knit ties to area financial institutions may have had easier access to getting their PPP applications submitted and approved. In line with this, Figure 2 shows the top five and bottom five states in terms of financial institutions (banks and credit unions) per 100,000 people. The states with the highest prevalence of financial institutions were also the top states for PPP small business loan share. While the states with the lowest prevalence of financial institutions were the states with the smallest share. Another factor may have been the extent that shelter-in-place rules were being enforced. North Dakota, Nebraska, and South Dakota – the three top states for loan share – are part of the handful of states that still do not have statewide lockdowns. California, on the other hand, was the first state in the country to issue shelter-in-place measures. Why it matters The first round of stimulus through the Paycheck Protection Program provided relief for many small businesses around the country. However, the first-come, first-serve method of distributing loans may have resulted in some small business communities having easier access to the program than others. Insights as to why these differences occurred and why small businesses in the larger markets received a lower share of PPP loans can inform future stimulus efforts and ensure that recovery among the states is as even and broad as possible.   Figure 1 Sources: Small Business Administration Paycheck Protection Program Report 4/16/2020, Census Bureau SUSB and NES Statistics. Author’s calculations. Figure 2 Sources: Experian data on financial institutions, Census Bureau population estimates. Author's calculations.

The response to the coronavirus (COVID-19) health crisis requires a brand-new mindset from businesses across the country. As part of our recently launched Q&A perspective series, Jim Bander, Market Lead of Analytics and Optimization and Kathleen Peters, Senior Vice President of Fraud and Identity, provided insight into how businesses can work to mitigate fraud and portfolio risk. Q: How can financial institutions mitigate fraud risk while monitoring portfolios? JB: The most important shift in portfolio monitoring is the view of the customer, because it’s very different during times of crisis than it is during expansionary periods. Financial institutions need to take a holistic view of their customers and use additional credit dimensions to understand consumers’ reactions to stress. While many businesses were preparing for a recession, the economic downturn caused by the coronavirus has already surpassed the stress-testing that most businesses performed. To help mitigate the increased risk, businesses need to understand how their stress testing was performed in the past and run new stress tests to understand how financially sound their institution is. KP: Most businesses—and particularly financial institutions—have suspended or relaxed many of their usual risk mitigation tools and strategies, in an effort to help support customers during this time of uncertainty. Many financial institutions are offering debt and late fee forgiveness, credit extensions, and more to help consumers bridge the financial gaps caused by the economic downturn. Unfortunately, the same actions that help consumers can hamstring fraud prevention efforts because they impact the usual risk indicators. To weather this storm, financial institutions need to pivot from standard risk mitigation strategies to more targeted fraud and identity strategies. Q: How can financial institutions’ exposure to risk be managed? JB: Financial institutions are trying to extend as much credit as is reasonably possible—per government guidelines—but when the first stage of this crisis passes, they need to be prepared to deal with the consequences. Specifically, which borrowers will actually repay their loans. Financial institutions should monitor consumer health and use proactive outreach to offer assistance while keeping a finger on the pulse of their customers’ financial health. For the foreseeable future, the focus will be on extending credit, not collecting on debt, but now is the time to start preparing for the economic aftermath. Consumer health monitoring is key, and it must include a strategy to differentiate credit abusers and other fraudsters from overall good consumers who are just financially stressed. KP: As financial institutions work to get all of their customers set up with online and mobile banking and account access, there’s an influx of new requests that all require consumer authentication, device identification, and sometimes even underwriting. All of this puts pressure on already strained resources which means increased fraud risk. To manage this risk, businesses need to balance customer experience—particularly minimizing friction—with vigilance against fraudsters and reputational risk. It will require a robust and flexible fraud strategy that utilizes automated tools as much as possible to free up personnel to follow up on the riskiest users and transactions.   Experian is 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 financial institutions manage their portfolios and protect against losses. Learn more About Our Experts: [avatar user="jim.bander" /] Jim Bander, Market Lead, Analytics and Optimization, Experian Decision Analytics, North America Jim joined Experian in April 2018 and is responsible for solutions and value propositions applying analytics for financial institutions and other Experian business-to-business clients throughout North America. He has over 20 years of analytics, software, engineering and risk management experience across a variety of industries and disciplines. Jim has applied decision science to many industries, including banking, transportation and the public sector. [avatar user="kathleen.peters" /] Kathleen Peters, Vice President, Fraud and Identity, Experian Decision Analytics, North America Kathleen joined Experian in 2013 to lead business development and international sales for the recently acquired 41st Parameter business in San Jose, Calif. She went on to lead product management for Experian’s fraud and identity group within the global Decision Analytics organization, launching Experian’s CrossCore® platform in 2016, a groundbreaking and award-winning new offering for the fraud and identity market. The last two years, Kathleen has been named a “Top 100 Influencer in Identity” by One World Identity (OWI), an exclusive list that annually recognizes influencers and leaders from across the globe, showcasing a who’s who of people to know in the identity space.

As financial institutions and other organizations scramble to formulate crisis response plans, it’s important to consider the power of data and analytics. Jim Bander, PhD, Experian’s Analytics and Optimization Market Lead discusses the ways that data, analytics and models can help during a crisis. Check out what he had to say: What implications does the global pandemic have on financial institutions’ analytical needs?  JB: COVID-19 is a humanitarian crisis, one that parallels Hurricanes Sandy and Katrina and other natural disasters but which far exceeds their magnitude. It is difficult to predict the impact as huge parts of the global economy have shut down. Another dimension of this disaster is the financial impact: in the US alone, more than 17 million people applied for unemployment in the first 6 weeks of the COVID-19 crisis. That compares to 15 million people in 18 months during the Great Recession. Data and analytics are more important than ever as financial institutions formulate their responses to this crisis. Those institutions need to focus on three key things: safety, soundness, and compliance. Safety: Financial institutions are taking immediate action to mitigate safety risks for their employees and their customers. Soundness: Organizations need to mitigate credit and fraud risk and to evaluate capital and liquidity. Some executives may need a better understanding of how their bank’s stress scenarios were calculated in the past to understand how they must be updated for the future. Important analytic functions include performing portfolio monitoring and benchmarking—quantifying the effects not only of consumer distress, but also of low interest rates. Compliance: Understanding and meeting complex regulatory and compliance requirements is crucial at this time. Companies have to adapt to new credit reporting guidelines. CECL requirements have been relaxed but lenders should assess the effects of COVID, and not only during their annual stress tests. As more consumers seek credit, from an analytics perspective, what considerations should financial institutions make during this time?  JB: During this volatile time, analytics will help financial institutions: Identify financially stressed consumers with early warning indicators Predict future consumer behavior Respond quickly to changes Deliver the best treatments at the right time for individual customers given their specific situations and their specific behavior. Financial institutions should be reevaluating where their organizations have the most vulnerability and should be taking immediate action to mitigate these risks. Some important areas to keep an eye on include early warning indicators, changes in fraudulent behavior (with the increase in digital engagements), and changes in customer behavior. Banks are already offering payment flexibility, deferments, and credit reporting accommodations. If volatility continues or increases, they may need to offer debt forgiveness plans. These organizations should also be prepared to understand their own changing constraints—such as budget, staffing levels, and liquidity requirements— especially as consumers accelerate their move to digital channels. In the near future, lenders should be optimizing their operations, servicing treatments, and lending policies to meet a number of possibly conflicting objectives in the presence of changing constraints and somewhat unpredictable transaction volumes.   What is the smartest next play for financial institutions?  JB: I see our smartest clients doing four things: Adapting to the new normal Maintaining engagement with existing customers by refreshing data that companies have on-hand for these consumers, and obtain additional views of these customers for analytics and data-driven decisioning Reallocating operational resources and anticipating the need for increased capacity in various servicing departments in the future Improving their risk management practices   What is Experian doing to help clients improve their risk management? JB: During this time, banks and other financial institutions are searching for ways to predict consumer behavior, especially during a crisis that combines aspects of a natural disaster with characteristics of a global recession. It is more important than ever to use analytics and optimization. But some of the details of the methodology is different now than during a time of economic expansion. For example, while credit scores (like FICO® and VantageScore® credit scores) will continue to rank consumers in terms of their probability to pay, those scores must be interpreted differently. Furthermore, those scores should be combined with other views of the consumer—such as trends in consumer behavior and with expanded FCRA-compliant data (data that isn’t reported to traditional credit bureaus). One way we’re helping clients improve their credit risk management is to provide them with a list of 140 consumer credit data attributes in 10 categories. With this list, companies will be able to better manage portfolio risk, to better understand consumer behavior, and to select the next best action for each consumer. Four other things we’re doing: We’re quickly updating our loss forecasting and liquidity management offerings to account for new stress scenarios. We’re helping clients review their statistical models’ performance and their customer segmentation practices, and helping to update the models that need refreshing. Our consulting team—Experian Advisory Services—has been meeting with clients virtually--helping them update, execute their crisis and downturn responses, and whiteboard new or updated tactical plans. Last but not least, we’re helping lenders and consumers defend themselves against a variety of fraud and identity theft schemes. Experian is committed to helping your organization during these uncertain times. For more resources, visit our Look Ahead 2020 Hub. Learn more Jim Bander, PhD, Analytics and Optimization Market Lead, Decision Analytics, Experian North America Jim Bander, PhD joined Experian in April 2018 and is responsible for solutions and value propositions applying analytics for financial institutions and other Experian business-to-business clients throughout North America. Jim has over 20 years of analytics, software, engineering and risk management experience across a variety of industries and disciplines. He has applied decision science to many industries including banking, transportation and the public sector. He is a consultant and frequent speaker on topics ranging from artificial intelligence and machine learning to debt management and recession readiness. Prior to joining Experian, he led the Decision Sciences team in the Risk Management department at Toyota Financial Services.