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It’s hard to remember a world without online lenders. Today, fintech players continue to pop up, making it easier to cross-shop loans and land instant approvals.  Gone are the days of lengthy applications and waiting to hear if you’ve scored the latest credit line or personal loan. Consumers, especially with top-tier credit, can easily seek lower monthly payments or consolidate another loan with a cash-out option. Whatever the need, there’s a lender ready to serve. Strike that. There’s actually two or three lenders waiting to serve you. In fact, a recent Experian data pull revealed an increasing share of personal loan balances is actually going to lenders outside of the traditional banks and credit union space (they still own the lion’s share of the business). In 2013 (Q4), these more non-traditional lenders had 15.36 percent of personal loan balances. In Q4 of 2015, that number increased to 27.26 percent. The personal loan business today is just over $222.9 billion in outstanding balances. As the competition heats up, lenders will need to diversify, stand out and provide more value to consumers. Those that engage with new, value-added services, and deliver timely, personalized needs-based messages will capture the greatest share of the market. Here is a sampling of ways to draw consumers in and deliver the value they seek in a financial institution: Be Transparent Lending Club, one of the original peer-to-peer lenders and currently the biggest in terms of dollars funded, continues to grow by providing consumers and investors with transparency, good loan terms and speed. Prosper, on the other hand, recently acquired an app that allows their customers to track spending, budget and monitor their credit. They plan to leverage this technology in the near future and offer it to customers and investors for free. Research reveals Millennials especially are looking to tech and free services to manage their personal finances. A recent Experian survey focused on Millennials and credit revealed 48 percent have used free financial services, like Mint, to manage their finances. Additionally, 57 percent use on average three financial apps. Know Your Customers Payoff uses survey data to segment their customers into roughly 10 financial personalities based on how they use and think about their debt. These personality types are used to tailor marketing messages and customer service conversations about how to improve their financial situation. Their site features a quiz, Discover the Secrets of Your Financial Personality, helping consumers and Payoff understand more about trends attached to spending, saving and managing money. Offer Solutions for Debt Consolidation Even after consumers consolidate debt and pay it off successfully, unforeseen expenses, unexpected life events, evolving spending habits and the increasing cost-of-living expenses mean there will always be a market for debt consolidation solutions. Understanding consolidation credit account behavior is mandatory for lenders looking to stand out and stay ahead of the consolidation needs of consumers. Having visibility to consumers’ interest rates, revolving loan balances and the remaining months on existing loans provides unique ways to segment and engage clients with need-based offers. Consumer-tailored messages during the prospecting, acquisition and account management stages of the relationship sets the stage for repeat business. The research is clear. Individuals are willing to switch brands if they feel a different provider will better meet their needs. Lenders – in both the traditional and fintech spaces – should not expect many chances when it comes to getting it right with consumers. Fail to keep them engaged and you’ll fail to keep them. Period.   Learn more about identifying profitable consolidation candidates, check out Experian’s annual Vision Conference in May.

2015 data shows where billing and shipping e-commerce fraud attacks occur in the United States Experian e-commerce fraud attacks and rankings now available Does knowing where fraud takes place matter? With more than 13 million fraud victims in 2015,[1] assessing where fraud occurs is an important layer of verification when performing real-time risk assessments for e-commerce. Experian® analyzed millions of e-commerce transactions from 2015 data to identify fraud-attack rates across the United States for both shipping and billing locations. View the Experian map to see 2015 e-commerce attack rates for all states and download the top 100 ZIP CodeTMrankings. “Fraud follows the path of least resistance. With more shipping and billing options available to create a better customer experience, criminals attempt to exploit any added convenience,” said Adam Fingersh, Experian general manager and senior vice president of Fraud & Identity Solutions. “E-commerce fraud is not confined to larger cities since fraudsters can ship items anywhere. With the switch to chip enabled credit card transactions, and possible growth of card-not-present fraud, our fraud solutions help online businesses monitor their riskiest locations to prevent losses both in dollars and reputation in the near term.” For ease of interpretation, billing states are associated with fraud victims (the address of the purchaser) and shipping states are associated with fraudsters (the address where purchased goods are sent). According to the 2015 e-commerce attack rate data: Florida is the overall riskiest state for billing fraud, followed by Delaware; Washington, D.C.; Oregon and California. Delaware is the overall riskiest state for shipping fraud, followed by Oregon, Florida, California and Nevada. Eudora, Kan., has the overall riskiest billing ZIP Code (66025). The next two riskiest ZIPTM codes are located in Miami, Fla. (33178) and Boston, Mass. (02210). South El Monte, Calif., has the overall riskiest shipping ZIP Code (91733). The next four riskiest shipping ZIP codes are all located in Miami. Overall, five of the top 10 riskiest shipping ZIP codes are located in Miami. Defiance, Ohio, has the least risky shipping ZIP Code (43512). The majority of U.S. states are at or below the average attack rate threshold for both shipping and billing fraud, with only seven states — Florida, Oregon, Delaware, California, New York, Georgia and Nevada — and Puerto Rico ranking higher than average. This indicates that attackers are targeting consumers equally in the higher-risk states while leveraging addresses from both higher- and lower-risk states to ship and receive fraudulent merchandise. Many of the higher-risk states are located near a large port-of-entry city, including Miami; Portland, Ore.; and Washington, D.C., perhaps allowing criminals to move stolen goods more effectively. All three cities are ranked among the riskiest cities for both measures of fraud attacks. Neighboring proximity to higher-risk states does not appear to correlate to any additional risk — Pennsylvania and Rhode Island are ranked as two of the lower-risk states for both shipping and billing fraud. Other lower-risk states include Wyoming, South Dakota and West Virginia. Experian analyzed millions of e-commerce transactions to calculate the e-commerce attack rates using “bad transactions” in relation to the total number of transactions for the 2015 calendar year.   View the Experian map to see 2015 e-commerce attack rates for all states and download the top 100 ZIP Code rankings.       [1]According to the February 2016 Javelin study 2016 Identity Fraud: Fraud Hits an Inflection Point.

Time to dust off those compliance plans and ensure you are prepared for the new regulations, specifically surrounding the Military Lending Act (MLA). Last July, the Department of Defense (DOD) published a Final Rule to amend its regulation implementing the Military Lending Act, significantly expanding the scope of the existing protections. The new, beefed-up version encompasses new types of creditors and credit products, including credit cards. While the DOD was responsible for implementing the rule, enforcement will be led by the Consumer Financial Protection Bureau (CFPB). The new rule became effective on October 1, 2015, and compliance is required by October 3, 2016. Compliance, however, with the rules for credit cards is delayed until October 3, 2017. While there is no formal guidance yet on what federal regulators will look for in reviewing MLA compliance, there are some insights on the law and what’s coming. Why was MLA enacted? It was created to provide service members and their dependents with specific protections. As initially implemented in 2007, the law: Limited the APR (including fees) for covered products to 36 percent; Required military-specific disclosures, and; Prohibited creditors from requiring a service member to submit to arbitration in the event of a dispute. It initially applied to three narrowly-defined “consumer credit” products: Closed-end payday loans; Closed-end auto title loans; and Closed-end tax refund anticipation loans. What are the latest regulations being applied to the original MLA implemented in 2007? The new rule expands the definition of “consumer credit” covered by the regulation to more closely align with the definition of credit in the Truth in Lending Act and Regulation Z. This means MLA now covers a wide range of credit transactions, but it does not apply to residential mortgages and credit secured by personal property, such as vehicle purchase loans. One of the most significant changes is the addition of fees paid “for a credit-related ancillary product sold in connection with the credit transaction.”  Although the MAPR limit is 36 percent, ancillary product fees can add up and — especially for accounts that carry a low balance — can quickly exceed the MAPR limit. The final rule also includes a “safe harbor” from liability for lenders who verify the MLA status of a consumer. Under the new DOD rule, lenders will have to check each credit applicant to confirm that they are not a service member, spouse, or the dependent of a service member, through a nationwide CRA or the DOD’s own database, known as the DMDC. The rule also permits the consumer report to be obtained from a reseller that obtains such a report from a nationwide consumer reporting agency. MLA status for dependents under the age of 18 must be verified directly with the DMDC. Experian will be permitted to gain access to the DMDC data to provide lenders a seamless transaction. In essence, lenders will be able to pull an Experian profile, and MLA status will be flagged. What is happening between now and October 2016, when lenders must be compliant? Experian, along with the other national credit bureaus, have been meeting with the DOD and the DMDC to discuss providing the three national bureaus access to its MLA database. Key parties, such as the Financial Services Roundtable and the American Bankers Association, are also working to ease implementation of the safe harbor check for banks and lenders. The end goal is to enable lenders the ability to instantly verify whether an applicant is covered by MLA by the Oct. 1, 2016 compliance date. --- If you have inquiries about the new Military Lending Act regulations, feel free to email MLA.Support@experian.com or contact your Experian Account Executive directly. Next Article: A check-in on the latest Military Lending Act news

For lenders, credit bureau data is vitally important in making informed risk determinations for consumer and small business loans. And the backbone of this data is credit reporting. With the rise of online marketplace lenders, there is a renewed focus on reporting credit data, particularly in light of the rapid growth of this sector. According to Morgan Stanley research, online marketplace loan volumes in the U.S. have doubled every year since 2010, reaching $12 billion in 2014. It is predicted this growth will nearly double by 2020. As more consumers and small businesses flock to online marketplace lenders, these lenders have a growing responsibility to be good stewards of the credit ecosystem, doing their part to support the value of information available for the entire industry – and for their own benefit. After all, failure to report credit data could have an adverse impact on the financial landscape, affecting consumers, small businesses and online lenders themselves. While there are already several online lenders currently reporting credit data, there is still a significant number of the marketplace that do not. So why specifically should marketplace lenders report? 1. Stay One Step Ahead of Regulators. It’s true data reporting is currently voluntary for marketplace lenders. But the Consumer Financial Protection Bureau’s (CFPB) recent activities reflect a growing focus by regulators to advocate for and protect consumers. Voluntary data reporting reflects the spirit of transparency and aligns with many regulatory priorities. By taking proactive steps and reporting data on their own, online lenders can stay one step ahead of regulators, hopefully alleviating the need for new regulations. 2. Gain a Competitive Advantage in the Long Run. Sure, data reporting is about “doing the right thing” for consumers, but it can be good for business too. Online marketplace lenders can gain distinct advantages by reporting. For example, with access to more accurate consumer information, lenders are able to develop and offer more competitive products tailored to the unique needs of their customers. By expanding their offerings, online lenders can differentiate themselves and thereby grow market share. Reporting also enables lenders to emphasize their commitment to consumers as part of their value proposition, demonstrating how they are helping to grow customer credit. Reporting rewards customers with good payment history, allowing them to take advantage of better loan rates and lower fees available to those with exemplary credit scores. This in turn can lead to higher customer satisfaction, loyalty and return business. With access to more complete and comprehensive consumer credit data, online lenders gain a clearer picture of a consumer’s credit worthiness, enabling them to make more informed, and less risky, lending decisions. Reporting also encourages on-time payments. When customers know that lenders report, they are more likely to pay on-time and less likely to default on their debt. 3. Have You Heard of the “Millennials?”  Millennials, and their passion for all things Internet-enabled, are the perfect match for online marketplace lenders. In fact, the latest research from Experian reveals 47 percent of millennials expect to use alternative finance sources in the near future. And 57 percent reported they are willing to use alternative companies and services that innovate to meet their needs. Millennials are clearly more open to nontraditional banking, but at the same time have a greater expectation of transparency, making it all the more important for online marketplace lenders to report credit data. 4. Achieve Data Quality. Complying with Fair Credit Reporting Act (FCRA) data furnishing requirements might seem daunting for marketplace lenders, but there are tools and solutions available to help lenders proactively assess the accuracy of credit data and help identify systemic issues. Marketplace lenders can measure and monitor quality and completeness, dispute metrics, as well as industry and peer-benchmarking data. 5. Qualify More Consumers. With reporting, marketplace lenders can gain access to an invaluable wealth of information that goes well beyond the traditional credit score. Armed with robust analytics, online lenders are in a position to qualify more consumers and small businesses, which creates a significant opportunity to gain long-term customers by improving the overall customer experience. --- Reporting really is a win for marketplace lenders and consumers. In the end, it will contribute to a healthy credit ecosystem and ensure lending decisions are based on the highest quality of information available. For more information about data reporting, including how to start, visit www.experian.com/datareporting. Learn more about data reporting, or about our Online Marketplace Lending track, at Experian's annual Vision Conference in May.

Loyalty fraud and the customer experience Criminals continue to amaze me. Not surprise me, but amaze me with their ingenuity. I previously wrote about fraudsters’ primary targets being those where they easily can convert credentials to cash. Since then, a large U.S. retailer’s rewards program was attacked – bilking money from the business and causing consumers confusion and extra work. This attack was a new spin on loyalty fraud. It is yet another example of the impact of not “thinking like a fraudster” when developing a program and process, which a fraudster can exploit. As it embarks on new projects, every organization should consider how it can be exploited by criminals. Too often, the focus is on the customer experience (CX) alone, and many organizations will tolerate fraud losses to improve the CX. In fact, some organization build fraud losses into their budgets and price products accordingly — effectively passing the cost of fraud onto the consumers. Let’s look into how this type of loyalty fraud works. The criminal obtains your login credentials (either through breach, malware, phishing, brute force, etc.) and uses the existing customer profile to purchase goods using the payment method on file for the account. In this type of attack, the motivation isn’t to receive physical goods; instead, it’s to accumulate rewards points — which can then be used or sold. The points (or any other form of digital currency) are instant — on demand, if you will — and much easier to fence. Once the points are credited to the account, the criminal cashes them out either by selling them online to unsuspecting buyers or by walking into a store, purchasing goods and walking right out after paying with the digital currency. A quick check of some underground forums validates the theory that fraudsters are selling retailer points online for a reduced rate — up to 70 percent off. Please don’t be tempted to buy these! The money you spend will no doubt end up doing harm, one way or another. Now, back to the customer experience. Does having lax controls really represent a good customer experience? Is building fraud losses into the cost of your products fair to your customers? The people whose accounts have been hacked most likely are some of your best customers. They now have to deal with returning merchandise they didn’t purchase, making calls to rectify the situation, having their personally identifiable information further compromised and having to pay for the loss. All in all, not a great customer experience. All businesses have a fiduciary responsibility to protect customer data with which they have been entrusted — even if the consumer is a victim of malware, phishing or password reuse. What are you doing to protect your customers? Simple authentication technologies, while nice for the CX, easily can fail if the criminal has access to the login credentials. And fraud is not a single event. There are patterns and surveillance activities that can help to detect fraud at every phase of your loyalty program — from new account opening to account logins and updates to transactions that involve the purchase of goods or the movement of currency. As fraudsters continue to evolve and look for the least-protected targets, loyalty programs have come to the forefront of the battleground. Take the time to understand your vulnerability and how you can be attacked. Then take the necessary steps to protect your most profitable customers — your loyalty program members. If you want to learn more, join us MRC Vegas 16 for our session “Loyalty Fraud; It’s Brand Protection, Not Just Loss Prevention” and hear our industry experts discuss loyalty fraud, why it’s lucrative, and what organizations can do to protect their brand from this grey-area type of fraud.

Every portfolio has a set of delinquent customers who do not make their payments on time. Truth. Every lender wants to collect on those payments. Truth. But will you really ever be able to recover all of those delinquent funds? Sadly, no. Still, financial institutions often treat all delinquent customers equally, working the account the same and assuming eventually they’ll get their funds. The sentiment to recover is good, but a lot of collection resources are wasted on customers who are difficult or impossible to recover. The good news? There is a better way. Predictive analytics can help optimize the allocation of collection resources by identifying the most effective accounts to prioritize to your best collectors, do not contact and proceed to legal actions to significantly increase the recovery of dollars, and at the same time reduce collection costs. I had the opportunity to recently present at the annual Debt Buyer Association’s International Conference and chat with my peers about this very topic. We asked the room, “How many of you are using scoring to determine how to work your collection accounts?” The response was 50/50, revealing many of these well-intentioned collectors are working themselves too hard, and likely not getting the desired returns. Before you dive into your collections work, you need to respond to two questions: Which accounts am I going to work first? How am I going to work those accounts? This is where scoring enters the scene. A scoring model is a statistical algorithm that assigns a numerical expression based on known information to predict an unknown future outcome. You can then use segmentation to group individuals with others that show the same behavior characteristics and rank order groups for collection strategies. In short, you allow the score to dictate the collection efforts and slope your expenses based on the propensity and expected amount of the consumer to pay. This will inform you on: What type, if any, skip trace tactic you should use? If you should purchase additional data? What intensity you should work the account? With scoring, you will see different performances on different debts. If you have 100 accounts you are collecting on, you’ll then want to find the accounts where you will have the greatest likelihood to collect, and collect the most dollars. I like to say, “You can’t get blood from a stone.” Well the same holds true for certain accounts in your collections pile. Try all you like, but you’ll never recoup those dollars, or the dollars you do recoup will be minimal. With a scoring strategy, you can establish your “hit list” and find the most attractive accounts to collect on, and also match your most profitable accounts with your best collectors. My message to anyone managing a collections portfolio can be summed up in three key messages. You need to use scoring in your business to optimize resources and increase profits. The better data that goes into your model will net you better performance results. Get a compliance infrastructure in place so you can ensure you are collecting the right way and stay out of trouble. The beauty of scores is they tell you what to do. It will help you best match resources to the most profitable accounts, and work smarter, not harder. That’s the power of scoring.

Compliance definitions LOA, CIP, FACTA, KYC — These acronyms seem endless, and navigating compliance can be both confusing and a painful drain on resources. How do you know the best approach for your institution? Should you look at regulations for Know Your Customer (KYC) or the Customer Identification Program (CIP)? What about the levels of assurance (LOAs) or the Fair and Accurate Credit Transactions Act (FACTA) Red Flags Rule? Does the USA PATRIOT Act affect your industry? The myriad guidelines, rules and mandates surrounding fraud compliance are changing the way organizations do business. Let’s start with some brief definitions. CIP/KYC The Customer Identification Program requires banks to form a reasonable belief that they know the true identity of each customer. The CIP must include procedures that specify the identifying information that will be obtained from each customer, along with reasonable and practical risk-based procedures for verifying each customer’s identity. The Know Your Customer provision is a financial regulatory rule mandated by the Bank Secrecy Act and the USA PATRIOT Act. These guidelines focus on prevention of money laundering and the use of financial institutions to finance terrorist activities. This process has three stages: the CIP, customer due diligence (CDD) and enhanced due diligence (EDD). The last two stages address customer risk from an anti–money laundering perspective. LOA/FACTA (Red Flags Rule) Levels of assurance regarding identity focus on the extent to which electronic authentication may be used to verify that the individual identified in the input data truly is the same person engaging in the electronic transaction. This can be a daunting task — even the National Institute of Standards and Technology acknowledges that electronic authentication of individual people is a technical challenge when performed remotely over an open network. To choose the level of assurance that works within your company structure, you must determine what is needed to maintain the internal compliance and risk thresholds for each business requirement. LOAs are based on two categories: trustworthiness of the identity-proofing process and trustworthiness of the credential-management function (which includes technology and implementation/management). There are four LOA levels: Minimal Assurance Moderate Assurance Substantial Assurance High Assurance The FACTA Red Flags Rule requires institutions to establish a program that identifies ecommerce “red flags.” This program should consist of a pattern, practice or specific activity that indicates the possible existence of identity theft applicable to account-opening activities, existing account maintenance and new activity on accounts that have been inactive for two years or more. Don’t be discouraged In this world of compliance regulations that read like alphabet soup, we understand the challenges of meeting regulations while providing a frictionless customer experience. When an organization strikes the perfect balance between compliance and customer service, it has a competitive advantage that can lead to additional revenue opportunities (e.g., profitably acquiring new customers, detecting fraud and reducing charge-offs, minimizing operational costs, and improving operational efficiencies). To achieve this, businesses need cost-effective, flexible tools that allow them to meet current and future guidelines, manage risk and ultimately authenticate as many true customers as possible — all while segmenting out only the real fraudsters and noncompliant identities. You can be assured that new regulations will come, existing regulations will be redefined and communications on how to comply will be difficult to interpret. To find out more about compliance, click here.

Over the next several years, the large number of home equity lines of credit (also known as HELOCs) originated during the boom period of 2005 to 2008, will begin approaching their end of draw periods. Upon entering the repayment period, these 10-year interest-only loans will become amortized to cover both principal and interest, resulting in payment shock for many borrowers. HELOCs representing $265 billion will reach their end of draw between 2015 and 2018. Now is the time for lenders to be proactive and manage this risk effectively. Lenders with HELOC portfolios aren’t the only ones affected by HELOC end of draw. Non-HELOC lenders also are at risk when consumers are faced with payment shock. Experian analysis shows that it is an issue of consumer liquidity — consumers who reach HELOC end of draw are more likely to become delinquent not only on their HELOC, but on other types of debt as well. If consumers were 90 days past due on their HELOC at end of draw, there was a 112 percent, 48.5 percent and 24 percent increase in delinquency on their mortgage, auto and bankcard trade, respectively. With advanced data and analytics, lenders can be proactive in managing the risk associated with HELOC end of draw. Whether your customer has a HELOC with you or with another lender or is a new prospect, having the key data elements to obtain a full view of that consumer’s risk is vital in mitigating HELOC end-of-draw risk. Lenders should consider partnering with companies that can help them develop and deploy HELOC risk strategies in the near future. It is essential that lenders proactively plan and are well-positioned to protect their businesses from HELOC end-of-draw risk. Experian HELOC end of draw study

Accuracy matters. It matters in dart throwing, math calculations, and now more than ever, in data reporting. The Consumer Financial Protection Bureau (CFPB) issued a bulletin on Feb. 3 warning banks and credit unions that if they fail to meet accuracy obligations when reporting negative account histories to credit reporting companies, the result could be bureau action. As noted in the Fair Credit Reporting Act (FCRA) section 623, data furnishers have an obligation to ensure the accuracy of the information furnished to a Credit Reporting Agency (CRA). Violation of these rules presents a variety of risks, and the regulatory agencies have enforced harsh consequences. Avoiding penalties is certainly a strong incentive for data furnishers to implement a formal compliance management system and data quality program. But there are additional benefits to ensuring accuracy – most notably keeping customers happy and loyal, and maintaining a reputable brand in the marketplace. Today’s consumers increasingly understand the impact of credit scoring and data reporting, and recognize a poor credit score can impact their lives in major ways. Credit is tied to so many milestone financial moments. Securing mortgage loans, auto loans, obtaining low-interest rate interest credit cards and securing private student loans can all be derailed with an unfavorable and inaccurate credit report. Not to mention credit reports can influence one’s eligibility for rental housing, setting premiums for auto and homeowners insurance in some states, or determining whether to hire an applicant for a job. To properly serve customers who simply expect a fair and accurate representation of their financial history, data furnishers must be able to guarantee the credibility of their reported data. Those organizations that cannot ensure accuracy put their reputation at risk and may lose a customer’s trust and business. “Consumers should not be sidelined out of the basic banking services they need because of the flaws and limitations in a murky system,” Cordray said in the bulletin. “People deserve to have more options for access to lower-risk deposit accounts that can better fit their needs.” The CFPB has handled more than 105,000 credit-reporting complaints in its short history, making credit reporting the third most-complained-about consumer issue. By far the most common types of credit-reporting issues identified by consumers is incorrect information on credit report (77 percent).* Certainly these mistakes are not made intentionally. But speak to a consumer battling an inaccuracy, especially someone in the midst of applying for credit for a specific need, and frustrations can soar quickly. All lenders are advised to maintain a full 360-degree view of data reporting, from raw data submissions to the consumer credit profile. Better data input equals fewer inaccuracies. Additionally, there are comprehensive reporting solutions available to assess the accuracy of consumer credit data. The regulatory environment will without a doubt continue to be a hot topic in the media, fueled by announcements such as these by the CFPB, so lenders should take note and identify processes to ensure complete and utter accuracy. It matters in so many ways, so it’s best to make data reporting a priority now, if it’s not already. Source: CFPB August 2015 Monthly Complaint Report

Understanding the behaviors of best-in-class credit risk managers For financial institutions to achieve superior performance, having the appropriate set of credit risk managers is a prerequisite. The ability to gain insight from data and customer behavior and to use that insight for strategic advantage is a critical ingredient for success. At the same time, the risk-management community is under increasing pressure to understand and explain underlying trends in credit portfolios — and to monitor, interpret and explain these trends with ever-greater accuracy. A common problem financial institutions face when confronting staff resource needs is the difficulty in recruiting and retaining experienced risk-management professionals. The risk-management community is notoriously small, and hiring expertise from within this community is extremely difficult. Skilled risk managers truly are a finite resource, but their skill set is in huge demand. Hiring the right talent is crucial to job satisfaction, leading to higher engagement levels and reduced attrition costs. On top of that, employee engagement is vital to an organization’s success. It drives employee productivity and fosters a culture of innovation, which leads to higher profitability for the entire organization. Building, attracting and retaining risk-management resources requires a commitment to engaging in staff personal development. A great way to support employee engagement is to invest in their personal and professional development, including opportunities for training and team building. If an organization can show that it is committed to developing its people and providing opportunities for career growth, employee engagement levels will rise, with all the benefits this entails. Typically, financial institutions bridge the resource skill gap by either hiring skilled statistical and analytical experts or developing in-house resources. Both of these approaches, however, require significant on-the-job training to teach employees how to link raw statistical techniques and procedures to influencing the profit and loss statement of the business line which they support. The challenge is often broadening the understanding of these skill set “silos” and their contribution to the overall portfolio. By opening that view, the organization generates additional value from these resources as lines of communication are improved and insights and opportunities found within the data are shared more effectively across the organizational team. Experian’s Global Consulting Practice provides a solution to this problem. Our two-day Risk and Portfolio Management Essentials training workshop offers the opportunity to understand the behaviors of best-in-class risk managers. What are the tools and enablers required for the role? How do they prepare for the process of managing credit risk? What areas must risk managers consider managers across the Customer Life Cycle? What differentiates the good from the great? To complement the training modules, Experian® offers an interactive, team-based approach that engages course participants in the build options of a defined portfolio. Participants leverage the best-in-class techniques presented in the sessions in a series of competitive, team-based exercises. This set of cross-organizational exercises drives home the best-in-class techniques and further builds understanding that resonates across the organization long after the course is concluded. For our current offerings, locations and to register click here.  

What is blockchain? Blockchain is beginning to get a lot of attention, so I thought it might be time to figure out what it is and what it means. Basically, a blockchain is a permissionless, distributed database that maintains a growing list of records (transactions) in a linear, chronological (and time-stamped) ledger. At a high level, this is how it works. Each computer connected to the network gets a copy of the entire blockchain and performs the task of validating and relaying transactions for the whole chain. The batches of valid transactions added to the record are called “blocks.” A block is the “current” part of a blockchain that records some or all of the recent transactions and once completed goes into the blockchain as a permanent database. Each time a block gets completed, a new block is created, with every block containing a hash of the previous block. There are countless numbers of blocks in the blockchain. To use a conventional banking analogy, the blocks would be a full history of every banking transaction for every person, and the blockchain would be a complete banking history. The entire blockchain is sent to everyone who has access, and every user validates the information in the block. It’s like if Tom, Bob and Harry were standing on the street corner and saw a cyclist hit by a car. Individually, all three men will be asked if the cyclist was struck by the car, and all three will respond “yes.” The cyclist being hit by the car becomes part of the blockchain, and that fact cannot be altered. Blockchain generally is used in the context of bitcoin, where similar uses of the structure are called altchains. Why should I care or, at the very least, pay attention to this movement? Because the idea of it is inching toward the tipping point of mainstream. I recently read an article that identified some blockchain trends that could shape the industry in coming months. The ones I found most interesting were: Blockchain apps will be released Interest in use cases outside payments will pick up Consortia will prove to be important Venture capital money will flow to blockchain start-ups While it’s true that much of the hype around blockchain is coming from people with a vested interest, it is beginning to generate more generalized market buzz as its proponents emphasize how it can reduce risk, improve efficiency and ultimately provide better customer service. Let’s face it, the ability to maintain secure, fast and accurate calculations could revolutionize the banking and investment industries, as well as ecommerce. In fact, 11 major banks recently completed a private blockchain test, exchanging multiple tokens among offices in North America, Europe and Asia over five days. (You can read The Wall Street Journal article here.) As more transactions and data are stored in blockchain or altchain, greater possibilities open up. It’s these possibilities that have several tech companies, like IBM, as well as financial institutions creating what has become known as an open ledger initiative to use the blockchain model in the development of new technologies that will enable a wider array of services. There is no doubt that the concept is intriguing — so much so that even the SEC has approved a plan to issue stock via blockchain. (You can read the Wired article here.) The potential is enough to make many folks giddy. The idea that risk could become a thing of the past because of the blockchain’s immutable historical record — wow. It’s good to be aware and keep an eye on the open ledger initiative, but let’s not forget history, which has taught us that (in the wise words of Craig Newmark), “Crooks are early adopters.” Since blockchain’s original and primary usage has been with bitcoin, I don’t think it is unfair to say that there will be some perceptions to overcome — like the association of bitcoin to activities on the Dark Web such as money laundering, drug-related transactions and funding illegal activities. Until we start to see the application across mainstream use cases, we won’t know how secure blockchain is or how open business and consumers will be to embracing it. In the meantime, remind me again, how long has it taken to get to a point of practical application and more widespread use of biometrics? To learn more, click here to read the original article.  

Ensure you’re protecting consumer data privacy Data Privacy Day is a good reminder for consumers to take steps to protect their privacy online — and an ideal time for organizations to ensure that they are remaining vigilant in their fight against fraud. According to a new study from Experian Consumer Services, 93 percent of survey respondents feel identity theft is a growing problem, while 91 percent believe that people should be more concerned about the issue. Online activities that generate the most concern include making an online purchase (73 percent), using public Wi-Fi (69 percent) and accessing online accounts (69 percent). Consumers are vigilant while online Most respondents are concerned they will fall victim to identity theft in the future (71 percent), resulting in a generally proactive approach to protecting personal information. In fact, almost 50 percent of respondents say they are taking more precautions compared with last year. Ninety-one percent take steps to secure physical information, such as shredding documents, while also securing digital information (using passwords and antivirus software). Many consumers also make sure to check their credit report (33 percent) and bank account statements (76 percent) at least once per month. There’s still room for consumers to be safer Though many consumers are practicing good security habits, some aren’t: More than 50 percent do not check to see if a Website is secure Fifty percent do not have all their Web-enabled devices password-protected because it is a hassle to enter a password (30 percent) or they do not feel it is necessary (25 percent) Fifty-five percent do not close the Web browser when they are finished using an online account Additionally, 15 percent keep a written record of passwords and PINs in their purse or wallet or on a mobile device or computer Businesses need to be responsible when it comes data privacy  Customer-facing businesses must continue efforts to educate consumers about their role in breach and fraud prevention. They also need to be responsible and apply comprehensive, data-driven intelligence that helps thwart both breaches and the malicious use of breached information and protect all parties’ interests. Nearly 70 percent of those polled in a 2015 Experian–Ponemon Institute study said that the increased visibility and media reporting of breaches, including payment-related incidents, have caused their organizations to step up data security efforts. Experian Fraud & ID is uniquely positioned to provide true customer intelligence by combining identity authentication with device assessment and monitoring from a single integrated provider. This combination provides the only true holistic view of the customer and allows organizations to both know and recognize customers and to provide them with the best possible experience. By associating the identities and the devices used to access services, the true identity can be seen across the customer journey. This unique and integrated view of identity and device delivers proven superior performance in authentication, fraud risk segmentation and decisioning. For more insights into how businesses are responding to breach activities, download our recent white paper, Data confidence realized: Leveraging customer intelligence in the age of mass data compromise. For more findings from the study, view the results here.

Who will take the coveted Super Bowl title in 2016? Now that we’re down to the final two teams, the commentary will heighten. Sportscasters, analysts, former athletes, co-workers ... even your local barista has an opinion. Will it be Peyton Manning's Denver Broncos or the rising Carolina Panthers? Millions will make predictions in the coming weeks, but a little research can go a long way in delivering meaningful insights. How have the teams been trending over the season? Are there injuries? Who is favored and what’s the spread? Which quarterback is leading in pass completions, passing yards, touchdowns, etc.? Who has been on this stage before, ready to embrace the spotlight and epic media frenzy? The world of sports is filled with stats resulting from historical data. And when you think about it, the world of credit could be treated similarly. Over the past several years, there has been much hype about “credit invisibles” and the need to “score more.” A traditional pull will likely leave many “no-file” and “thin-file” consumers out, so it’s in a lender’s best interest to leverage alternative scoring models to uncover more. But it’s also important to remember a score is just a snapshot, a mere moment in time. How did a consumer arrive to that particular score pulled on any given day? Has their score been trending up or down? Has an individual been paying off debt at a rapid pace or slipping further behind?   Two individuals could have the exact same score, but likely arrived to that place differently. The backstory is good to know – in sports and in the world of credit. Trended data can be attached to balances, credit limits, minimum payment due, actual payment and date of payment. By assessing these areas on a consumer file for 24 months, more insights are delivered and lenders can take note of behavior patterns to assist with risk assessment, marketing and share-of-wallet analysis. For example, looking closer at those consumers with five trades or more, Experian trended data reveals: 27% are revolvers, carrying balances each month 27% are transactors, paying off large portions, or all of their balances 9% are rate surfers, who tend to frequently transfer balances to credit cards with 0% or low introductory rates. Now these consumers can be viewed beyond a score. Suddenly, lenders can look within or outside their portfolio to understand how consumers use credit, what to offer them, and assess overall profitability. In short, trended data provides a more detailed view of a borrower’s historical credit performance, and that richness makes for a more informed decision. Without a doubt, there is power in the score – and being able to score more – but when it comes time to place your bets, the trended data matters, adding a whole new dimension to an individual’s credit score. Place your wagers accordingly. As for who will win Super Bowl 2016? I haven’t a clue. I’m more into the commercials. And I hear Coldplay is on for the half-time show. If you’re betting, best of luck, and do your homework.

With the rapid growth in the number of online marketplace lenders , and projections the field will continue to grow in 2016, winning the race to greater revenue and profitability is key to survival. In 2014, online marketplace lenders issued loans totaling around $12 billion in the United States. In a recent report, Morgan Stanley said it expects the U.S. number to grow to $122 billion by 2020, and the global number will surpass $280 billion in the same time period. Investors fear growth in acquisition costs will erode profitability as more online marketplace lenders enter the market. And as portfolios grow, there will be a need for greater sophistication as it pertains to managing accounts. Online marketplace lenders use a variety of different models to generate revenue including charging interest, loan origination and other service fees. However, regardless of the model, there are typically three key levers all should monitor in order to increase their odds for a profitable and sustainable future. 1. Cost per Account (CPA) CPA is more than a simple calculation spreading marketing cost across new account volume. Rather, it is a methodical evaluation of individual drivers such as channel lead cost, success rates, identity verification and cost of marketing collateral. When measured and evaluated at the granular lever, it is possible to make the most informed strategic decisions possible. Marketplace lenders will have to go much deeper than simply evaluating lead costs, clicks, completed and accepted applications, and funding/activation including whether customers take the loan proceeds or use a revolving product. Don’t forget ID verification and the costs associated with risk mitigation and determining if the low-risk customers are deciding to apply elsewhere. In addition, take into account marketing costs including collateral and channel strategies including any broadcast media, direct mail, web and social media expenses. Evaluate results across various product types – and don’t forget to take into account web content and layout, which can impact all metrics. 2. First Pay Default (FPD) FPD is not a long-term loan performance measure, but it is a strong indicator of lead source and vintage quality. It will most closely correlate to long-term loan performance in short-term loans and non-prime asset classes. It is also a strong indicator of fraud. The high value of online loans, combined with the difficulty of verifying online applicants, is making online lenders a prime target for fraud, so it is essential to closely monitor FPD. Online lenders’ largest single cost category is losses from unpaid loans with fraud serving as a primary driver of that number. It is important to evaluate FPD using many of the same segments as CPA. Online lenders must ask themselves the tough questions. Is a low-cost lead source worthwhile? Did operational enhancements really improve the customer experience and credit quality? 3. Servicing Online account servicing is generally the least costly means of servicing customers, an obvious advantage for online marketplace lenders. However, a variety of factors must be considered when determining the servicing channels to use. These include avoidance of customer backlash and regulatory scrutiny, servicing channel effectiveness in providing feedback regarding product design and administration, servicing policies and marketing collateral. Already, we know the legal and regulatory landscape will evolve as policy makers assess the role of marketplace lending in the financial system, while a recent federal appeals court ruling increases the risk that courts could deem some loans void or unenforceable, or lower the interest rates on them. An effective customer complaint escalation policy and process must also be created and allow for situations when the customer is not “right.” Voice of the customer (VOC) surveys are an effective method of learning from the customer and making all levels of staff know the customer better, leading to more effective marketing and account servicing. Lastly, online lenders can’t ignore social media. They should be prepared for customers, especially millennials, to use it as a means to loudly complain when dissatisfied. But also remember that the same media can be an excellent medium for two-way engagement and result in creating raving fans. A Final Consideration As online marketplace lenders continue to come of age, they are likely to find themselves facing increased competition from incumbent consumer lenders, so optimizing for profitability will be essential. Assessing these three key areas regularly will help in that quest and establish their business for a sustainable future. For more information, visit www.experian.com/marketplacelending.

Attract and retain high-value demand deposit accounts The excitement of the new year has ended, and now the big question remains: What will 2016 hold for our market and the economy? So far, we’ve seen this election year bring a volatile financial market: The Federal Reserve increased short-term interest rates by 25 basis in December, and there is uncertainty if and when future increases will come China’s gross domestic product is forecasted at 6.5 percent, the lowest in a quarter century The Dow Jones industrial average is down 10 percent to start the year, signaling a lot of uncertainty for banks and consumers It’s hard to find answers in a shifting financial landscape with a long list of mixed signals. The average consumer is looking on and wondering if we face another Great Recession or if the current economy is spiking a fever just before it is completely cured. The reality, for those of us in the banking industry, is that the modest economic recovery is likely to continue as part of a new normal pattern. In 2016, banks that remain competitive in a more digital world will be those that have frictionless products and processes to attract and retain high-value, highly sought-after consumer deposits and loans. Banks should expect the competition for deposits to intensify, and they will need to ensure that new deposit customers are on boarded effectively and cross-sold loan products quickly to reduce first-year attrition. Cross-selling at the point of origination for the demand deposit account (DDA) customers is the best way to ensure that new customers keep the institution as their primary bank. Financial institutions can exceed consumer expectations and ensure a competitive business model by leveraging modernized technology capabilities fully in combination with making relevant decisions to deliver consumer-friendly experiences. First-year DDA attrition rates will demonstrate how the consumer’s expectations were met and if the new bank got the account-opening process right or wrong. Experian® suggests three capabilities clients should consider: A deposits technology platform that offers frictionless change to data, origination strategies and instant cross-sell to loan products that yield sticky customers Strategies that comply with current and evolving regulatory demands, such as those being sought by the Consumer Financial Protection Bureau (CFPB) Business planning to identify execution gaps and a road map to ensure that gaps are addressed, confirming continued competitive ability to attract high-value deposit and loan customers DDA-account opening effectiveness can be achieved by using a consumer’s life stage, affordability considerations, unique risk profile and financial needs to on board optimally and grow those high-value consumers effectively and efficiently. Financial institutions that are nimble and fast adopters of these critical capabilities will reduce operating expenses for their organizations, grow sustainable revenue from new prospects and customers, and delight those new customers along the way. This is a win-win for banks and consumers. Join me next week as we discuss best practices across the entire demand deposit account life cycle.