Financial Services
The themes of the game of Risk are relevant to the world of real-life fraud risk prevention. The difference is that the stakes are real and much higher.
What will the EMV shift really mean for consumers and businesses here in the U.S.? Businesses and consumers across the U.S. are still adjusting to their new EMV credit cards. The new credit cards are outfitted with computer chips in addition to the magnetic strips to help prevent point-of-sale (POS) fraud. The new system, called EMV (which stands for Europay, MasterCard and Visa), requires signatures for all transactions. EMV is a global standard for credit cards. In the wake of the rising flood of large-scale data breaches at major retailers – and higher rates of counterfeit credit card fraud – chip-and-signature, as it is also called, is designed to better authenticate credit card transactions. Chip-and-signature itself is not new. It has been protecting consumers and businesses in Europe for several years and now the U.S. is finally catching up. But what will the EMV system really mean for consumers and businesses here in the U.S.? There is the potential for businesses that sell both offline and online, to see an increase in fraud that takes place online called Card Not Present (CNP) fraud. Will credit card fraud ever really be wiped out? Can we all stop worrying that large-scale point-of-sale breaches will happen again? Will the EMV shift affect holiday shopping and should retailers be concerned? Join us as we explore these questions and more on an upcoming Webinar, Chipping Away at EMV Myths. Our panel of experts includes: David Britton, Vice President, Industry Solutions, Experian Julie Conroy, Research Director, Aite Group Mike Klumpp, Director of Fraud Prevention, Citibank Moderated by: Keir Breitenfeld, Vice President, Product Management, Experian
Auto lending success: Issues within auto lending are unique to other financial services ecosystems. The challenge for many lenders is to…
Key drivers to auto financial services are speed and precision. What model year is your decisioning system? In the auto world the twin engineering goals are performance and durability. Some memorable quotes have been offered about the results of all that complex engineering. And some not so complex observations. The world of racing has offered some best examples of the latter. Here’s a memorable one: “There’s no secret. You just press the accelerator to the floor and steer left. – Bill Vukovich When considering an effective auto financial services relationship one quickly comes to the conclusion that the 2 key drivers of an improved booking rate is the speed of the decision to the consumer/dealer and the precision of that decision – both the ‘yes/no’ and the ‘at what rate’. In the ‘good old days’ a lender relied upon his dealer relationship and a crew of experienced underwriters to quickly respond to a sales opportunities. Well, these days dealers will jump to the service provider that delivers the most happy customers. But, for all too many lenders some automated decisioning is leveraged but it is not uncommon to still see a significantly large ‘grey area’ of decisions that falls to the experienced underwriter. And that service model is a failure of speed and precision. You may make the decision to approve but your competition came in with a better price at the same time. His application got booked. Your decision and the cost incurred was left in the dust – bin. High on the list of solutions to this business issue is an improved use of available data and decisioning solutions. Too many lenders still underutilize available analytics and automated decisions to deliver an improved booking rate. Is your system last year’s model? Does your current underwriting system fully leverage available third party data to reduce delays due to fraud flags. Is your ability to pay component reliant upon a complex application or follow-up requests for additional information to the consumer? Does your management information reporting provide details to the incidence and disposition of all exception processes? Are you able to implement newer analytics and/or policy modifications in hours or days versus sitting in the IT queue for weeks or months? Can you modify policies to align with new dealer demographics and risk factors? The new model is in and Experian® is ready to help you give it a ride. Purchase auto credit data now.
As Big Data becomes the norm in the credit industry and others, the seemingly non-stop efforts to accumulate more and more data leads me to ask the question - when is Big Data too much data? The answer doesn’t lie in the quantity of data itself, but rather in the application of it – Big Data is too much data when you can’t use it to make better decisions. So what do I mean by a better decision? From any number of perspectives, the answer to that question will vary. From the viewpoint of a marketer, maybe that decision is about whether new data will result in better response rates through improved segmentation. From a lender perspective, that decision might be about whether a borrower will repay a loan or the right interest rate to charge the borrower. That is one the points of the hype around Big Data – it is helping companies and individuals in all sorts of situations make better decisions – but regardless of the application, it appears that the science of Big Data must not just be based on an assumption that more data will always lead to better decisions, but that more data can lead to better decisions – if it is also the “right data”. Then how does one know when another new data source is helping? It’s not obvious that additional data won’t help make a better decision. It takes an expert to understand not only the data employed, but ultimately the use of the data in the decision-making process. It takes expertise that is not found just anywhere. At Experian, one of our core capabilities is based on the ability to distinguish between data that is predictive and can help our clients make better decisions, and that which is noise and is not helpful to our clients. Our scores and models, whether they be used for prospecting new customers, measuring risk in offering new credit, or determining how to best collect on an outstanding receivable, are all designed to optimize the decision making process. Learn more about our big data capabilities
Fraud management is an ongoing issue for businesses, especially when it comes to identifying likely fraudulent customers and delivering excellent customer service
Solving the regulatory compliance issue: In terms of best practice, it all really starts with the data, creating sound risk management strategies, and...
Increased volume of fraud attempts during back to school shopping season. Is your fraud strategy prepared to handle the increased volume?
Surveillance and fraud staging are the seemingly benign and often-transparent account activities that fraudsters undertake after an account has been compromised but before that compromise has been detected or money is moved.
Understanding shelf companies and shell companies In our world of business challenges with revenues level or trending down and business loans tougher than ever to get, “shelf” and “shell” companies continue to be an easy option for business opportunities. Shelf companies are defined as corporations formed in a low-tax, low-regulation state in order to be sold off for its excellent credit rating. Click on the internet and you will see a plethora of vendors selling companies in a turn-key business packages. Historically off-the-shelf structures were used to streamline a start-up, where an entrepreneur instantly owns a company that has been in business for several years without debt or liability. However, selling them as a way to get around credit guidelines is new, making them unethical and possibly illegal. Creating companies that impersonate a stable, well established companies in order to deceive creditors or suppliers in another way that criminals are using shelf companies for fraudulent use. Shell companies are characterized as fictitious entities created for the sole purpose of committing fraud. They often provide a convenient method for money laundering because they are easy and inexpensive to form and operate. These companies typically do not have a physical presence, although some may set up a storefront. According to the U.S. Department of the Treasury’s Financial Crimes Enforcement Network, shell companies may even purchase corporate office “service packages” or “executive meeting suites” in order to appear to have established a more significant local presence. These packages often include a state business license, a local street address, an office that is staffed during business hours, a conference room for initial meetings, a local telephone listing with a receptionist and 24-hour personalized voice mail. In one recent bust out fraud scenario, a shell company operated out of an office building and signed up for service with a voice over Internet protocol (VoIP) provider. While the VoIP provider typically conducts on-site visits to all new accounts, this step was skipped because the account was acquired through a channel partner. During months one and two, the account maintained normal usage patterns and invoices were paid promptly. In month three, the account’s international toll activity spiked, causing the provider to question the unusual account activity. The customer responded with a seemingly legitimate business explanation of activity and offered additional documentation. However, the following month the account contact and business disappeared, leaving the VoIP provider with a substantial five figure loss. A follow-up visit to the business showed a vacant office suite. While it’s unrealistic to think all shelf and shell companies can be identified, there are some tools that can help you verify businesses, identify repeat offenders, and minimize fraud losses. In the example mention above, post-loss account review through Experian’s BizID identified an obvious address discrepancy – 12 businesses all listed at the same address, suggesting that the perpetrator set up numerous businesses and victimized multiple organizations. It is possible to avoid being the next victim and refine and revisit your fraud best practices today. Learn more about Experian BizID and how to protect your business.
A recent Experian survey found that while consumers are getting better about protecting their information on a regular basis, many do not take the same precautions when traveling. According to the survey, 1 in 5 consumers has had an item with sensitive information lost or stolen while traveling, and 39% have experienced identity theft while traveling or know someone who has. Organizations can protect themselves and customers by using innovative fraud-detection tools designed to reduce potential losses while preserving the customer experience. >> Video: The reputational impact of fraud and identity theft
With more than one-third of customers interacting with a single business in five or more channels and more than 85 percent of consumers using online or mobile to conduct business, omnichannel fraud prevention has become a necessity. Implementing a layered approach to authentication and integrating device intelligence into the process to associate a consumer with a known device are critical components of a fraud mitigation strategy. In addition to providing another layer of validation, verifying a customer through his or her device makes it easier for the customer to interact with the business and is a huge benefit to the overall customer experience. Perspective paper: Protecting the customer experience - The impact of fraud on the customer relationship
By: Mike Horrocks The other day in the American Banker, there was an article titled “Is Loan Growth a Bad Idea Right Now?”, which brings up some great questions on how banks should be looking at their C&I portfolios (or frankly any section of the overall portfolio). I have to admit I was a little down on the industry, for thinking the only way we can grow is by cutting rates or maybe making bad loans. This downer moment required that I hit my playlist shuffle and like an oracle from the past, The Clash and their hit song “Should I stay or should I go”, gave me Sage-like insights that need to be shared. First, who are you listening to for advice? While I would not recommend having all the members of The Clash on your board of directors, could you have maybe one. Ask yourself are your boards, executive management teams, loan committees, etc., all composed of the same people, with maybe the only difference being iPhone versus Android?? Get some alternative thinking in the mix. There is tons of research to show this works. Second, set you standards and stick to them. In the song, there is a part where we have a bit of a discussion that goes like this. “This indecision's buggin' me, If you don't want me, set me free. Exactly whom I'm supposed to be, Don't you know which clothes even fit me?” Set your standards and just go after them. There should be no doubt if you are going to do a certain kind of loan or not based on the pricing. Know your pricing, know your limits, and dominate that market. Lastly, remember business cycles. I am hopeful and optimistic that we will have some good growth here for a while, but there is always a down turn…always. Again from the lyrics – “If I go there will be trouble, An' if I stay it will be double” In the American Banker article, M&T Bank CFO Rene Jones called out that an unnamed competitor made a 10-year fixed $30 million dollar loan at a rate that they (M&T) just could not match. So congrats to M&T for recognizing the pricing limits and maybe congrats to the unnamed bank for maybe having some competitive advantage that allowed them to make the loan. However if there is not something like that supporting the other bank…the short term pain of explaining slower growth today may seem like nothing compared to the questioning they will get if that portfolio goes south. So in the end, I say grow – soundly. Shake things up so you open new markets or create advantages in your current market and rock the Casbah!
Source: IntelliViewsm powered by Experian Sales of existing homes dropped 50% from the peak in August 2005 to the low point in July 2010. The spike in home sales in late 2009 and early 2010 was due to the large number of foreclosure sales as well as very low prices. Since 2010, sales have increased to almost to the level they were in 2000, before the financial crisis. However, the homeownership rate has steadily gone down. How could sales have picked up while the homeownership rate declined? Investors have entered the market snapping up single family homes and renting them. Therefore, the recent good news in the existing home market has been driven by investors, not homeowners. But as I point out below, this is changing. Looking at the homeownership rate by age, shown in the table below, it is clear that since the crisis the rate has declined most for people under 45. The potential for marketing is greatest in this cohort as the numbers indicate a likely demand for housing. Homeownership Rate by Age Source: U.S. Census Bureau and Haver Analytics as reported on the Federal Reserve Bank of St. Louis Fred database The factors that have impeded growth, described above, are beginning to reverse which, along with pent-up demand, will present an opportunity for mortgage originators in 2015. Home prices have risen in 246 of the 277 cities tracked by Clear Capital.With prices going up, investors have begun to back away from the market, resulting in prices increasing at a slower rate in some cities but they are still increasing.Therefore the perception that homeownership is risky will likely change.In fact, in some areas, such as California’s coastal cities, sales are strong and prices are going up rapidly. Lenders and regulators are recognizing that the stringent guidelines put in place in reaction to the crisis have overly constrained the market.Fannie Mae and Freddie Mac are reducing down payment requirements to as low as 3%.FHA is lowering their guarantee fee, reducing the amount of cash buyers need to close transactions.Private securitizations, which dried up completely, are beginning to reappear, especially in the jumbo market. As unemployment continues to go down, consumer confidence will rise and household formation will return to more normal levels which result in more sales to first time homebuyers, who drive the market.According to Lawrence Yun, chief economist for the National Association of Realtors, “…it’s all about consistent job growth for a prolonged period, and we’re entering that stage.” The number of houses in foreclosure, according to RealtyTrac, has fallen to pre-crisis levels.This drag on the market has, for the most part, cleared and as prices continue to inflate, potential buyers will be motivated to buy before homes become unaffordable.Despite the recent increases, home prices are still, on average, 23% lower than they were at the peak. Focusing marketing dollars on those people with the highest propensity to buy has always been a challenge but in this market there are identifiable targets. “Boomerangs” are people who owned real estate in the past but are currently renting and likely to come back into the market.Marketing to qualified former homeowners would provide a solid return on investment. People renting single family houses are indicating a lifestyle preference that can be marketed to. Newly-formed households are also profitable targets. The housing market, at long last, appears to be finally turning the corner and normalizing. Experian’s expertise in identifying the right consumers can help lenders to pinpoint the right people on whom marketing dollars should be invested to realize the highest level of return. Click here to learn more.
End-of-draw approaching for many home equity lines of credit (HELOCs) originated during the U.S. housing boom period of 2006 – 2008