Financial Services
Financial inclusion is a challenge, that, while not new, has become ever more apparent over the last year. The inequities and inequalities in our society, exasperated by the COVID-19 pandemic, which disproportionately affected underserved populations, have amplified the challenge lenders and others in the financial services industry face in fostering financial inclusion. As a result, there is an increased focus and importance on diversity, equity and inclusion (DEI) and having the ability to assess creditworthiness of overlooked and ‘invisible’ consumers. In a recent webinar, we sat down with Sarah Davies, Head of Data Analytics at Nova Credit, and a panel of Experian experts including Wil Lewis, Chief Diversity, Equity and Inclusion Officer, Alpa Lally, Vice President of Product Management, and Greg Wright, Product Chief Officer, to explore the topic of DEI, what best practices exist to break down financial inclusion barriers and move financial access forward for all, and real-takeaway strategies and capabilities designed for fintechs and other financial institutions to leverage for lending deeper. Below are a few key perspectives from our speakers: What barriers to access are there for credit across different groups of people? [WL]: There are many barriers to financial inclusion, especially for underserved communities. The first of which is lack of awareness and lack of education about credit and how it impacts financial access – from obtaining loans, buying a first home, a new car and more. Not every American has someone in their life to teach and provide coaching on credit responsibility and how to be financially literate. [AL]: Historically, credit, wealth and health inequalities have all contributed to financial disparities, and as a result, have created an underrepresentation of marginalized communities in the current credit ecosystem. That’s compounded by today’s ecosystem where consumer underwriting favors those with established thick-file credit histories with minimal delinquencies, particularly in the last 24 months. So, all things being equal, additional points distributed to elevate scores are given to consumers that are maintaining low revolving debt. This poses credit barriers for those starting out new to credit, or even to immigrants coming into a new country who don’t have an established credit history. What role could the credit industry play in healing the financial disparities created by the COVID-19 pandemic? [WL]: Our opportunity lies in meeting consumers where they are today. COVID-19 has spotlighted economic and social disparities in a way it hasn’t been done before. At the same time, it illustrated how the inability of some groups to access financial services requires meaningful solutions, quickly. Historically, organizations have been known to look at this in a traditional way: meaning “we are the organization, consumers come to us and we can tell you what you can and can’t do.” We need to shift our focus to how we can provide consumers with tools, technology and machine learning (ML) that are available to empower them. [SD]: One of the lessons we’ve learned from COVID, is that we need to be able to get to the marketplace fast in order to respond to the economic conditions. Fintechs have been very effective at this and it has shown through the approach they’ve taken towards immediacy in identifying, developing and distributing solutions. With consumers in a stressed position, it’s incumbent upon us, as the industry, to deliver consumer-centric options and opportunities in an efficient manner rather than having our consumers sit around waiting for them. Are there solutions to help ensure we are lending deeper and serving thin-filed consumers? [AL]: At its core, data – not limited to only traditional credit data – that can be decisioned on, can help enrich financial inclusion. Alternative data, or expanded FCRA data, means that the data is displayable, disputable and correctable by the consumer. We recognize that traditional credit is still an effective way to assess a consumer’s credit worthiness. However, expanded FCRA data includes data points from rental, video streaming, all other industry sectors to help provide a 360 view of the consumer with additional insights - whether you are a thick-file consumer, thin-file consumer, or credit invisible. Through these different various data assets paired with advanced analytics and ML, we now have a mechanism to make sure consumers go from credit invisible to visible – and scorable. Leveraging Experian Boost and Experian Lift scores can do just that. [SD]: Expanded FCRA data is powerful and vital for helping the consumer. In addition, we are now in a place where the consumer can take on the responsibility and accountability for giving permission to include their data in the credit score. You’re putting the consumers in the driver seat, and with that, we are dissolving the psychological barriers that consumers may have had previously around their credit score being out of their control. As a player in the financial services space, we can put out as much data as we want, but it’s about engaging the consumer, sharing with them how it’s safe to share their data, and what the benefits of doing so are. Are there tangible and intangible benefits of DEI that companies can realize when they have formal DEI programs in place? [WL]: Often times, when we think of lending, we talk about it from the standpoint of our business – ‘what are we doing for our customers, how are we helping consumers who are going to a institution for a loan.’ What we typically forget about is our own backyard. Every organization has employees who are at different points in their credit journey. How often do we talk directly to our employees and give them tools and details that may help them, their family member, or neighbor? As I think about DEI, it’s about involving folks inside your company to continue moving financial inclusion forward. As for an intangible benefit, when doing work in DEI and driving impact, you’re also reducing negative reputational risk. Reputable brands are invaluable, as you begin to make and show an impact, consumers begin to trust you. [AL]: Brand and reputation is huge in today’s world. We are starting to see a shift in consumers selecting certain institutions to work with, not just because of the services provided, but because it’s based on the brand and what they stand for. You as an institution are doing financial inclusion and you’re living up to it. You are truly embarking internally and externally on this initiative and it adds weights on the products and solutions that you sell. For consumers, that may be very important. What does the future look like relative to financial inclusion? [WL]: It’s a world where all of us play a role in - no matter where you are in the organization. It’s all of our jobs and responsibility to talk about it to our fellow neighbor, consumer, and direct them to tools that will help them. [SD]: We no longer need to justify why financial inclusion is necessary. We’ve got all the data we need. Tools and mechanisms for organizations and consumers are almost universally available. The go-forward view requires all ‘players’ within the space to aggressively embrace these tools and data and start sharing and applying them across all markets and verticals. There’s no longer a reason not to be able to underwrite somebody with a thin file or marginal set of data. We have everything in place at this point. [AL]: It’s all our jobs. I think we have to put a lot of importance on our younger leaders and colleagues to carry our initiatives forward, so we are truly inclusive. We have just started taking the initial steps and we’ve made good progress, but we need to continue to make progress. In the future, I hope to see all that are younger take this forward and drive financial inclusion for all across the spectrum. Watch the full session to hear more of the engaging and timely discussion. Access the recording To learn more about how Experian is committed to advancing financial inclusion, please visit Experian’s Inclusion Forward resources page. For Fintechs looking to partner with Experian on marketplace lending solutions, explore our solutions here.
Artificial intelligence is here to stay, and businesses who are adopting the newest AI technology are ahead of the game. From targeting the right prospects to designing effective collections efforts, AI-driven strategies across the entire customer lifecycle are no longer a nice to have - they are a must. Many organizations are late to the game of AI and/or are spending too much time and money designing and redesigning models and deploying them over weeks and months. By the time these models are deployed, markets may have already shifted again, forcing strategy teams to go back to the drawing board. And if these models and strategies are not being continuously monitored, they can become less effective over time and lead to missed opportunities and lost revenue. By implementing artificial intelligence in predictive modeling and strategy optimization, financial institutions and lenders can design and deploy their decisioning strategies faster than ever before and make incremental changes on the fly to adapt to evolving market trends. While most organizations say they want to incorporate artificial intelligence and machine learning into their business strategy, many do not know where to start. Targeting, portfolio management, and collections are some of the top use cases for AI/ML strategy initiatives. Targeting One way businesses are using AI-driven modeling is for targeting the audiences that will most likely meet their credit criteria and respond to their offers. Financial institutions need to have the right data to inform a decisioning strategy that recognizes credit criteria, can respond immediately when prospects meet that criteria and can be adjusted quickly when those factors change. AI-driven response models and optimized decision strategies perform these functions seamlessly, giving businesses the advantage of targeting the right prospects at the right time. Credit portfolio management Risk models optimized with artificial intelligence and machine learning, built on comprehensive data sets, are being used by credit lenders to acquire new revenue and set appropriate balance limits. Strategies built around AI-driven risk models enable businesses to send new offers and cross-sell offers to current customers, while appropriately setting initial credit limits and managing limits over time for increased wallet share and reduced risk. Collections AI- and ML-driven analytics models are also optimizing collections strategies to improve recovery rates. Employing AI-powered balance and response models, credit lenders can make smarter collections decisions based on the most predictive and accurate information available. For lending businesses who are already tight on resources, or those whose IT teams cannot meet the demand of quickly adapting to ever-changing market conditions and decisioning criteria, a managed service for AI-powered models and strategy design might be the best option. Managed service teams work closely with businesses to determine specific use cases, develop models to meet those use cases, deploy models quickly, and monitor models to ensure they keep producing and predicting optimally. Experian offers Ascend Intelligence Services, the only managed service solution to provide data, analytics, strategy and performance monitoring. Experian’s data scientists provide expert guidance as they collaborate with businesses in developing and deploying models and strategies around targeting, acquisitions, limit-setting, and collections. Once those strategies are deployed, Experian continually monitors model health to ensure scores are still predictive and presents challenger models so credit lenders can always have the most accurate decisioning models for their business. Ascend Intelligence Services provides an online dashboard for easy visibility, documentation for regulatory compliance, and cloud capabilities to deliver scores and decisions in real-time. Experian’s Ascend Intelligence Services makes getting into the AI game easy. Start realizing the power of data and AI-driven analytics models by using our ROI calculator below: initIframe('611ea3adb1ab9f5149cf694e'); For more information about Ascend Intelligence Services, visit our webpage or join our upcoming webinar on October 21, 2021. Learn more Register for webinar
Despite an unprecedented 18 months since the pandemic was in full force and many Americans were sent home, financial wellness continues to be on the up and up. Consumers continue to manage credit well and the average credit score climbed seven points since 2020 to 695, the highest point in more than 13 years. In Experian’s 12th annual State of Credit report, the headlines are hopeful regarding how Americans are managing personal finances in the face of the pandemic. The report provides a comprehensive look at the credit performance of consumers across America by highlighting consumer credit scores and borrowing behaviors. This year’s report features data from 2019 pre-pandemic, the 2020 pandemic year, and the start of 2021. “The findings from this year’s report show something I’ve always believed: Americans are resilient, for the most part they make smart decisions in the face of adversity and they are agile in adjusting their financial habits when the environment or circumstances change,” said Alex Lintner, President, Experian Consumer Information Services. Highlights of Experian’s State of Credit report: 2021 State of Credit Report 2019 2020 2021 Average VantageScore® credit score [1] 682 688 695 Median VantageScore® credit score 687 697 707 Average number of credit cards 3.0 3.0 3.0 Average credit card balance $6,494 $5,897 $5,525 Average revolving utilization rate 30% 26% 25% Average number of retail credit cards 2.50 2.42 2.33 Average retail credit card balance $1,930 $2,044 $1,887 Average nonmortgage debt $25,057 $25,483 $25,112 Average mortgage debt $210,263 $215,655 $229,242 Average auto loan or lease $19,034 $19,462 $20,505 Average 30–59 days past due delinquency rates 3.8% 2.4% 2.3% Average 60–89 days past due delinquency rates 1.9% 1.3% 1.0% Average 90–180 days past due delinquency rates 6.6% 3.8% 2.5% We asked Joseph Mayans, Principal Economist at Advantage Economics, LLC, for his reactions to the findings: “The State of Credit Report captures the three central themes of the pandemic. First, it shows the overwhelming success of the fiscal support packages. By far, the most striking example of this is the broad based and significant decline in delinquencies during a time when millions of people were out of work. Second, the report showcases the resiliency of American households. People used their stimulus dollars to stay on top of their bills and pay down debt, which boosted average credit scores across all generations. And third, it highlights the unique behavioral shifts brought on by the pandemic. We can see these changes in the rise of housing and auto debt as people bought larger homes and sought to drive rather than ride public transportation.” Generational Trends As indicated in the findings, consumers across all generations except Gen Z saw decreased utilization rates and decreased credit card balances year over year. Consumers are also missing fewer payments with notable improvements seen among the youngest consumers. Mortgage debt was up across every generation, which may correlate with the record low interest rates on mortgages, refinances and moves. According to the CBRE, “the pandemic accelerated several long-standing American migration patterns” as evidenced by more than 15.9 million people filing change-of-address requests with the United States Postal Service. Compared with 2019, 2020 change-of-address requests show a 4% increase in total movers, 2% increase in permanent movers and 27% increase in temporary movers, according to a study by MyMove. Mayans also made note of the mortgage trends. “It’s becoming clearer that millennials are stepping into the homebuying phase in a big way. Once thought to be the generation of apartments and urban revival, many older millennials are now buying homes and moving to the suburbs much like their parents before them,” Mayans said. “This will have significant implications for the post-pandemic world, especially as work from home becomes more prevalent.” State Trends The states with the highest and lowest average credit score remained unchanged from last year with the highest average score of 726 held by Minnesota and an average score of 666 held by Mississippi. New Jersey had the highest number of credit cards and retail cards at 3.37 and 2.54 respectively, and Alaska had the highest credit card debt at $7,089 (U.S. average is $5,525) and Texas had the highest retail debt at $2,248 (U.S. average is $1,888). What Lies Ahead Some have argued that the past year of the pandemic and quarantine forced a lot of time for reflection. The continued positive trends of consumer behavior seem to indicate some of that effort was put toward better financial health practices. That said, like any sourdough bread recipe or DIY home glow-up, there’s always more to learn and opportunities to seize when it comes to financial health. “We are committed to working with lenders and the industry to help consumers gain access to credit, driving broader financial inclusion, while also teaching consumers how to responsibly build and use credit responsibly,” Lintner said. In addition to the free weekly credit report at AnnualCreditReport.com, Experian also offers consumers free access to their credit report and ongoing credit monitoring at Experian.com. Additional credit education resources and tools Join Experian’s #creditchat hosted by @Experian on Twitter with financial experts every Wednesday at 3 p.m. Eastern time. Bilingual and Spanish speakers are also invited to join Experian’s monthly #ChatdeCredito hosted on Twitter at 3 p.m. Eastern time beginning September 16. Visit the Ask Experian blog for answers to common questions, advice and education about credit. Add positive telecom, utility and streaming service payments to your Experian credit report for an opportunity to improve your credit scores by visiting experian.com/boost[2] For additional resources, visit https://www.experian.com/consumereducation To see all the findings, download the 2021 State of Credit Report. Download the full report [1] VantageScore® is a registered trademark of VantageScore Solutions, LLC. VantageScore® credit score range is 300 to 850. [2] Results may vary. See Experian.com for details
The collections landscape is changing as a result of new and upcoming legislation and increased expectations from consumers. Because of this, businesses are looking to create more effective, consumer-focused collections processes while remaining within regulatory guidelines. Our latest tip sheet has insights that can help businesses and agencies optimize their collections efforts and remain compliant, including: Start with the best data Keep pace with changing regulations Focus on agility Pick the right partner Download the tip sheet to learn how to maximize your collections efforts while reducing costs, avoiding reputational damage and fines, and improving overall engagement. Download tip sheet
The Telephone Consumer Protection Act (TCPA), which regulates telemarketing calls, autodialed calls, prerecorded calls, text messages and unsolicited faxes, was originally passed in 1991. Since that time, there have been many rulings and updates that impact businesses’ ability to maintain TCPA compliance. Recent TCPA Changes On December 30, 2020, the Federal Communications Commission (FCC) updated a number of TCPA exemptions, adding call limits and opt-out requirements, and codifying exemptions for calls to residential lines. These changes, along with other industry changes, have added additional layers of complication to keeping compliant while still optimizing operations and the consumer experience. Maintaining TCPA Compliance Businesses who do not maintain TCPA compliance could be subject to a lawsuit and paying out damages, and potential hits to their reputation. With the right partner in place, businesses can maintain data hygiene and accuracy to increase right-party contact (and reduce wrong-party contact) to keep collections streamlined and improve the customer experience. Using the right technology in place, it’s easier to: Monitor and verify consumer contact information for a better customer experience while remaining compliant. Receive and monitor daily notifications about changes in phone ownership information. Maintain compliance with Regulation F by leveraging a complete and accurate database of consumer information. When searching for a partner, be sure to look for one who offers data scrubbing, phone type indicators, phone number scoring, phone number identity verification, ownership change monitoring, and who has direct access to phone carriers. To learn more about how the right technology can help your business maintain TCPA compliance, visit us or request a call. Learn more
Over the last year and a half, strong trends emerged in how businesses and consumers interact online - specifically when validating identities and preventing fraud. We initially explored these trends at a global level, and now we've explored U.S.-specific insights into online security, the customer experience, and digital activities and operations. Download the North America findings report to learn more about business and consumer fraud and identity trends impacting the way we live, work, and interact. Review your fraud strategy
As lenders and consumers emerge from the pandemic, predicting the attributes of the “new normal” will be difficult. Consumer demand, credit characteristics and economic conditions have all been affected by the pandemic – changing the way we think about doing business. Regulators and legislators have also developed new priorities and expectations for financial institutions. Clint Ivester, Experian’s Solutions Consultant and VP of Sales, joined Lee Gilley and Jonathan Kkolodziej, Partners for Bradley, to share their observations from the past year at AFSA’s 2021 Independents Conference. They also discussed recommendations financial institutions should consider to achieve the best possible posture with respect to compliance and business readiness. Here are a few Q&A highlights: Q: How are stimulus packages and increased government spending affecting economic conditions? A: [Ivester]: Our Experian forecast shows that the economy will grow 6% in 2021. That is well above the 2.5% average we have seen over the last four decades and highest rate since 1983. While the economy is oriented toward growth, how strong that growth is going to be will really depend on how well things go when the “training wheels” are taken off, how robust the recovery is for lower-income workers, and how consumer spending habits have been altered by the pandemic. *Data sources include Bureau of Economic Analysis and Experian’s “COVID-19 Economics Scenarios” April 2021 Report Q: How should businesses be assessing future consumer demand, conditions, and broader economic conditions over the next few quarters? A: [Ivester]: To answer this question, we should consider some factors including unemployment. What happens with lower income workers will have a big impact on where consumer spending goes post-stimulus. While the overall economy is set for solid growth there are still 8 million people out of work with the vast majority being lower income workers. Employment for lower income workers is still down more than 20%. These workers are set to lose the most by the phase out of the federal pandemic unemployment programs and are the highest risk to lose all unemployment benefits. However, if we see a strong jobs recovery – as is very possible – in bars, restaurants, hotels and other industries, these individuals will return to more normal spending habits and consumer spending should remain robust. *Data source includes Opportunity Insights Economic Tracker Watch the full session to hear more about the discussion. For more resources and content on this topic, please visit our Look Ahead Resources page or contact us for more information.
Lately, I’ve been surprised by the emphasis that some fraud prevention practitioners still place on manual fraud reviews and treatment. With the market’s intense focus on real-time decisions and customer experience, it seems that fraud processing isn’t always keeping up with the trends. I’ve been involved in several lively discussions on this topic. On one side of the argument sit the analytical experts who are incredibly good at distilling mountains of detailed information into the most accurate fraud risk prediction possible. Their work is intended to relieve users from the burden of scrutinizing all of that data. On the other side of the argument sits the human side of the debate. Their position is that only a human being is able to balance the complexity of judging risk with the sensitivity of handling a potential customer. All of this has led me to consider the pros and cons of manual fraud reviews. The Pros of Manual Review When we consider the requirements for review, it certainly seems that there could be a strong case for using a manual process rather than artificial intelligence. Human beings can bring knowledge and experience that is outside of the data that an analytical decision can see. Knowing what type of product or service the customer is asking for and whether or not it’s attractive to criminals leaps to mind. Or perhaps the customer is part of a small community where they’re known to the institution through other types of relationships—like a credit union with a community- or employer-based field of membership. In cases like these, there are valuable insights that come from the reviewer’s knowledge of the world outside of the data that’s available for analytics. The Cons of Manual Review When we look at the cons of manual fraud review, there’s a lot to consider. First, the costs can be high. This goes beyond the dollars paid to people who handle the review to the good customers that are lost because of delays and friction that occurs as part of the review process. In a past webinar, we asked approximately 150 practitioners how often an application flagged for identity discrepancies resulted in that application being abandoned. Half of the audience indicated that more than 50% of those customers were lost. Another 30% didn’t know what the impact was. Those potentially good customers were lost because the manual review process took too long. Additionally, the results are subjective. Two reviewers with different levels of skill and expertise could look at the same information and choose a different course of action or make a different decision. A single reviewer can be inconsistent, too—especially if they’re expected to meet productivity measures. Finally, manual fraud review doesn’t support policy development. In another webinar earlier this year, a fraud prevention practitioner mentioned that her organization’s past reliance on manual review left them unable to review fraud cases and figure out how the criminals were able to succeed. Her organization simply couldn’t recreate the reviewer’s thought process and find the mistake that lead to a fraud loss. To Review or Not to Review? With compelling arguments on both sides, what is the best practice for manually reviewing cases of fraud risk? Hopefully, the following list will help: DO: Get comfortable with what analytics tell you. Analytics divide events into groups that share a measurable level of fraud risk. Use the analytics to define different tiers of risk and assign each tier to a set of next steps. Start simple, breaking the accounts that need scrutiny into high, medium and low risk groups. Perhaps the high risk group includes one instance of fraud out of every five cases. Have a plan for how these will be handled. You might require additional identity documentation that would be hard for a criminal to falsify or some other action. Another group might include one instance in every 20 cases. A less burdensome treatment can be used here – like a one-time-passcode (OTP) sent to a confirmed mobile number. Any cases that remain unverified might then be asked for the same verification you used on the high-risk group. DON’T: Rely on a single analytical score threshold or risk indicator to create one giant pile of work that has to be sorted out manually. This approach usually results in a poor experience for a large number of customers, and a strong possibility that the next steps are not aligned to the level of risk. DO: Reserve manual review for situations where the reviewer can bring some new information or knowledge to the cases they review. DON’T: Use the same underlying data that generated the analytics as the basis of a review. Consider two simplistic cases that use a new address with no past association to the individual. In one case, there are several other people with different surnames that have recently been using the same address. In the other, there are only two, and they share the same surname. In the best possible case, the reviewer recognizes how the other information affects the risk, and they duplicate what the analytics have already done – flagging the first application as suspicious. In other cases, connections will be missed, resulting in a costly mistake. In real situations, automated reviews are able to compare each piece of information to thousands of others, making it more likely that second-guessing the analytics using the same data will be problematic. DO: Focus your most experienced and talented reviewers on creating fraud strategies. The best way to use their time and skill is to create a cycle where risk groups are defined (using analytics), a verification treatment is prescribed and used consistently, and the results are measured. With this approach, the outcome of every case is the result of deliberate action. When fraud occurs, it’s either because the case was miscategorized and received treatment that was too easy to discourage the criminal—or it was categorized correctly and the treatment wasn’t challenging enough. Gaining Value While there is a middle ground where manual review and skill can be a force-multiplier for strong analytics, my sense is that many organizations aren’t getting the best value from their most talented fraud practitioners. To improve this, businesses can start by understanding how analytics can help group customers based on levels of risk—not just one group but a few—where the number of good vs. fraudulent cases are understood. Decide how you want to handle each of those groups and reserve challenging treatments for the riskiest groups while applying easier treatments when the number of good customers per fraud attempt is very high. Set up a consistent waterfall process where customers either successfully verify, cascade to a more challenging treatment, or abandon the process. Focus your manual efforts on monitoring the process you’ve put in place. Start collecting data that shows you how both good and bad cases flow through the process. Know what types of challenges the bad guys are outsmarting so you can route them to challenges that they won’t beat so easily. Most importantly, have a plan and be consistent. Be sure to keep an eye out for a new post where we’ll talk about how this analytical approach can also help you grow your business. Contact us
If it looks like a bank and acts like a bank, there’s a good chance the company behind that financial services transaction may not actually be a bank – but a fintech. Born out of Silicon Valley, New York and tech hubs in between, fintechs have been categorically unfettered from regulation and driven by a focus on customer acquisition and revenue growth. Today, the fintech market represents hundreds of billions of dollars globally and has been disrupting financial services with the goal of delightful customer experiences and democratizing access to credit and banking. Their success has led many fintechs to update their strategy and growth targets and set their sites outside of core banking to other sectors including payments, alternative lending, insurance, capital markets, personal wealth management, alternative lending and others. Depending on the strategy, many are seeking a bank charter, or a partnership with a chartered financial institution to accomplish their new growth goals. Meanwhile, all this disruption has caught the attention of banks and credit unions who are keen to work with these marketplace lenders to grow deposits and increase fee-revenue streams. Historically, obtaining a bank charter was an onerous process, which led many fintechs to actively seek out partnerships with financial institutions in order to leverage their chartered status without the regulatory hurdles of becoming a bank. In fact, fintech and FI partnerships have boomed in the last few years, growing more than five times over the past decade. Gone are the days of the zero-sum game that benefits solely the bank or the fintech. Today, there are more than 30 partner banks representing hundreds of fintech relationships and financial services. These partnerships vary in size and scope from household names like Goldman Sachs, which powers the Apple credit card, to Hatch Bank, which has $68 million in assets and started with a single fintech partner, HM Bradley.[1] But which scenario is right for your fintech? Much of that depends on which markets and lines of business round out your growth strategy and revenue goals. Regardless of what framework you determine is right for your fintech, you need to work with partners who have access to the freshest data and models and a firm handle on the regulatory and compliance landscape. Experian can help you navigate the fintech regulatory environment and think through if partnering with a bank or seeking your own fintech charter is the best match for your growth plan. In the meantime, check out this new eBook for more information on the bank charter process and benefits, fintech-FI partnerships and the implications of the Office of the Comptroller of the Currency (OCC) new fintech charter. Read now Explore Fintech solutions [1] https://a16z.com/2020/06/11/the-partner-bank-boom/
For credit unions, having the right income and employment verification tools in place helps to create an application process that is easy and low friction for both new and existing members. Digital first is member first The digital evolution created an expectation for online experiences that are simple, fast, and convenient. Attracting and building trusted, loyal relationships and paving the way for new revenue-generating opportunities now hinges on a lender's ability to provide experiences that meet those expectations. At the same time, market volatility and economic uncertainty are driving catalysts behind the need for credit unions to gain a more holistic view of a member’s financial stability. To gain a competitive advantage in today’s lending environment, credit unions need income and employment verification solutions that balance two often polarizing business drivers: member experience and risk management. While verified income and employment data is key to understanding stability, it’s equally important to streamline the verification process and make it as frictionless as possible for borrowers. With these things in mind, here are three considerations to help credit unions ensure their income and employment verification process creates a favorable member experience. The more payroll records, the better Eliminate friction for members by tapping into a network of millions of unique employer payroll records. Gaining instant access into a database of this scale helps enable decisions in real-time, eliminates the cost and complexity of many existing verification processes, and allows members to skip cumbersome steps like producing paystubs. Create a process with high configuration and flexibility Verification is not a one-size-fits-all process. In some cases, it might be advantageous to tailor a verification process. Make sure your program is flexible, scalable and highly configurable to meet your evolving business needs. It should also have seamless integration options to plug and play into your current operations with ease. The details are in the data When it comes to income and employment verification, make sure that you are leveraging the most comprehensive source of consumer information. It’s important that your program is powered by quality data from a wealth of datasets that extend beyond traditional commercial businesses to ensure you are getting the most comprehensive view. Additionally, look to leverage a network of exclusive employer payroll records. With both assets, make sure you understand how frequently the data is refreshed to be certain your decisioning process is using the freshest and highest-quality data possible. Implementing the right solution By including a real-time income and employment verification solution in your credit union’s application process, you can improve the member experience, minimize cost and risk, and make better and faster decisions. To learn more about Experian’s income and employment verification solutions, or for a complimentary demo, feel free to contact an expert today. Learn more Contact us
Earlier this year, we shared our predictions for five fraud threats facing businesses in 2021. Now that we’ve reached the midpoint of the year and economic recovery is underway, we’re taking another look at how these threats can impact businesses and consumers. Putting a Face to Frankenstein IDs: Synthetic identity fraudsters will attempt to bypass fraud detection methods by using AI to combine facial characteristics from different people to form a new identity. Overexposure: As many as 80% of SSNs may have been exposed on the dark web, creating opportunities for account application fraud. The Heist: Surges in data breaches, advances in automation, expanded online banking services and vulnerabilities exposed from social engineering mistakes have lead to rises in account takeover fraud. Overstimulated: Opportunistic fraudsters may take advantage of ongoing relief payments by using stolen data from consumers. Behind the Times: Businesses with lackluster fraud prevention tools and insufficient online security technology will likely experience more attacks and suffer larger losses. To learn more about upcoming fraud threats and how to protect your business, download our new infographic and check out Experian’s fraud prevention solutions. Download infographic Request a call
As stimulus-generated fraud wanes, we anticipate a return of more traditional forms of fraud, including account opening fraud. As businesses embrace the digital evolution and look ahead to responsible growth, it’s important to balance the customer experience with the risks associated with account opening fraud. Preventing account opening fraud requires a layered fraud and identity management strategy that allows you to approve good customers while keeping criminals out. With the right tools in place, you can optimize the customer experience while still keeping risk low. Download infographic Review your fraud strategy
Over the past year and a half, the development of digital identity has shifted the ways businesses interact with consumers. Companies across every industry have incorporated digital services, biometrics, and other verification tools to enhance the consumer experience without increasing risk. Changing consumer expectations A digital identity strategy is no longer a nice-to-have, it’s table stakes. Consumers expect to be recognized across platforms and have a seamless experience every time. 89% of consumers use mobile banking 80% of companies now have a customer recognition strategy in place 55% of banking customers say they plan to visit the bank branch less often moving forward Businesses are responding to these changing expectations while working to grow during the economic recovery – trying to balance consumer experience with risk appetite and bottom-line goals. The present state of digital identity Digital identity strategies require both standardization and interoperability. The first provides the ability to consistently capture data and characteristics that can be used to recognize a specific individual. The second allows businesses to resolve an identity to a specific person – recognizing a phone number, user ID and password, or a device – and use that information to determine if the user of the identity is in fact the identity owner. There are some roadblocks on the road to a seamless digital identity strategy. Issues include a lack of consumer trust and an ambiguous regulatory landscape – creating friction on both ends of the equation. Recipe for success To succeed, businesses need a framework that can reliably use different combinations of physical and digital identity data to determine that the person behind the identity is a known, verified, and unique individual. A one-size-fits-all solution doesn’t exist. However, a layered approach allows businesses to modernize identity, providing the services consumers want and expect while remaining agile in an ever-changing environment. In our newest white paper, developed in partnership with One World Identity, we explore the obstacles hindering digital identity management, and the best way to build a layered solution that is flexible, trustworthy, and inclusive. To learn more, download our “Capturing the Digital Evolution Through a Layered Approach” white paper. Download white paper
Premier Awards Program Recognizes Breakthrough Financial Technology Products and Companies Experian’s Ascend Intelligence Services was selected as a winner of the “Consumer Lending Innovation Award” category in the fifth annual Fintech Breakthrough Awards conducted by Fintech Breakthrough, an independent market intelligence organization that recognizes the top companies, technologies and products in the global fintech market today. The Fintech Breakthrough Awards is the premier awards program founded to recognize the fintech innovators, leaders and visionaries from around the world in a range of categories, including digital banking, personal finance, lending, payments, investments, RegTech, InsurTech and many more. The 2021 Fintech Breakthrough Awards attracted more than 3,850 nominations from across the globe. One of the latest developments on Experian's trusted, award-winning Ascend platform, Ascend Intelligence Services empowers financial services firms with Experian’s revolutionary managed analytics solutions and services, delivered on a modern-tech AI platform. Ascend Intelligence Services includes rapid model development, seamless deployment, optimized decision strategies, ongoing performance monitoring and continuous retraining. The technology-enabled service uses a secure cloud-based AI platform to harness the power of machine learning, and deliver unique capabilities covering the entire credit lifecycle, through an easy-to-use web portal. “To stay ahead of the latest economic conditions, fintechs need high-quality analytical models running on large and varied data sets that empower them to act quickly and decisively. The breakthrough Ascend Intelligence Services platform answers this immediate market need,” said James Johnson, Managing Director, Fintech Breakthrough. “Congratulations to Experian and the Ascend team on winning our ‘Consumer Lending Innovation Award’ for 2021 with this game-changing solution.” “Data scientists are spending too much time on manual, repetitive and low value-add tasks, and organizations cannot afford to do this is in a state of constant change,” said Srikanth Geedipalli, Experian’s SVP Global Analytics/AI Products. “While building and deploying high-quality analytical models can be time-consuming and expensive, Ascend Intelligence Services streamlines this process by harnessing the power of machine learning and Experian’s rich data assets to drive better, faster and smarter decisions. We have been able to deliver analytical solutions to clients up to 4X faster, significantly improving decision automation rates and increasing approval rates by double digits. We are proud that Ascend Intelligence Services is being recognized as a breakthrough solution in the 2021 Fintech Breakthrough Awards program,” he said. Ascend Intelligence Services is comprised of four modules: Ascend Intelligence Services Challenger™ is a powerful, dynamic and collaborative model development service that enables Experian to rapidly build a model and quantify the benefit to business. Businesses can review, comment on and approve the model, all from within the web portal, while it’s being built. The resulting score is available for testing through an API endpoint and can be deployed in production with a few easy steps. Reports are customizable, downloadable and regulatory compliant. Ascend Intelligence Services Pulse™ is a proactive model monitoring and validation service, which aids companies in monitoring the health of models that drive their business decisions. Pulse, provides convenient dashboards that include a model health index, performance summary, stress-testing results, model risk management reporting, model health alerts and more. Additionally, Pulse automatically builds challengers for champion models, providing an estimated performance lift and financial benefit. Ascend Intelligence Services Strategy Advance™ is a powerful business strategy development service, enabling clients to make optimal lending decisions on their applicants. Strategy Advance uses Experian’s powerful optimization engine to build the right credit policy for clients, including sophisticated decision rules, model overlays and client specified knock-out rules. The resulting decision is available for testing through an API endpoint and can be deployed in production with a few easy steps. Ascend Intelligence Services Limit™ is a credit limit optimization service, enabling clients to make the right credit limit decisions at account origination and during account management. Limit uses Experian’s data, predictive risk and balance models and our powerful optimization engine to design the right credit limit strategy that maximizes product usage, while keeping losses low. The limit decision is available for testing through an API endpoint and can be deployed in production with a few easy steps. To learn more about how Ascend Intelligence Services can support your business, please explore our solutions page. Learn more For a list of all award winners selected for the Fintech Breakthrough Awards, read the full press release here.
The pandemic changed nearly everything – and consumer credit is no exception. Data, analytics, and credit risk decisioning are gaining an even more significant role as we grow closer to the end of the global crisis. Consumers face uneven roads to recovery, and while some are ready to spend again, others are still dealing with pandemic-related financial stress. We surveyed nearly 9,000 consumers and 2,700 businesses worldwide about how consumers are stabilizing their finances and businesses are returning to growth for our new Global Decisioning Report. In this report, we dive into: Key business priorities in 2021 Financial concerns for consumers How to navigate an uneven recovery Business priorities for the year ahead The importance of the online experience As we begin to near the end of the pandemic, businesses need to prioritize technology that enables a responsive, flexible, efficient and confident approach. This can be done by leveraging advanced data and analytics and integrating machine learning tools into model development. By investing in the right credit risk decisioning tools now, you can help ensure your future. Download the report