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By: Ken Pruett The great thing about being in front of customers is that you learn something from every meeting. Over the years I have figured out that there is typically no “right” or “wrong” way to do something. Even in the world of fraud and compliance I find that each client's approach varies greatly. It typically comes down to what the business need is in combination with meeting some sort of compliance obligation like the Red Flag Rules or the Patriot Act. For example, the trend we see in the prepaid space is that basic verification of common identity elements is really the only need. The one exception might be the use of a few key fraud indicators like a deceased SSN. The thought process here is that the fraud risk is relatively low vs. someone opening up a credit card account. So in this space, pass rates drive the business objective of getting customers through the application process as quickly and easily as possible….while meeting basic compliance obligations. In the world of credit, fraud prevention is front and center and plays a key role in the application process. Our most conservative customers often use the traditional bureau alerts to drive fraud prevention. This typically creates high manual review rates but they feel that they want to be very customer focused. Therefore, they are willing to take on the costs of these reviews to maintain that focus. The feedback we often get is that these alerts often lead to a high number of false positives. Examples of messages they may key off of are things like the SSN not being issued or the On-File Inquiry address not matching. The trend is this space is typically focused on fraud scoring. Review rates are what drive score cut-offs leading to review rates that are typically 5% or less. Compliance issues are often resolved by using some combination of the score and data matching. For example, if there is a name and address mismatch that does not necessarily mean the application will kick out for review. If the Name, SSN, and DOB match…and the score shows very little chance of fraud, the application can be passed through in an automated fashion. This risk based approach is typically what we feel is a best practice. This moves them away from looking at the binary results from individual messages like the SSN alerts mentioned above. The bottom line is that everyone seems to do things differently, but the key is that each company takes compliance and fraud prevention seriously. That is why meeting with our customers is such an enjoyable part of my job.

Join us Sept 12-13 in New York City for the Finovate conference to check out the best new innovations in financial and banking technology from a mixture of leading established companies and startups. As part of Finovate's signature demo-only format for this event, Steve Wagner, President, Consumer Information Services and Michele Pearson, Vice President of Marketing, Consumer Information Services, from Experian will demonstrate how providers and lead generators can access a powerful new marketing tool to: Drive new traffic Lower online customer acquisition costs Generate high-quality, credit-qualified leads Proactively utilize individual consumer credit data online in real time Networking sessions will follow company demos each day, giving attendees the chance to speak directly with the Experian innovators they saw on stage. Finovate 2011 had more than 1,000 financial institution executives, venture capitalists, members of the press and entrepreneurs in attendance, and they expecting an even larger audience at the 2012 event. We look forward to seeing you at Finovate!

In this three-part series, Everything you wanted to know about credit risk scores, but were afraid to ask, I will provide a high level overview of: What a credit risk score predicts; Common myths about credit risk scores and how to educate consumers; and finally, Scoring traditionally unscoreable consumers Part I: So what exactly does a credit risk score predict? A credit risk score predicts the probability that a consumer will become 90 days past due or greater on any given account over the next 24 months. A three digit risk score relates to probability; or in some circles, probability of default. An example of the probability of default: For a consumer who has a VantageScore® credit score of 900, there is a 0.21% chance they will have a 90 day or greater past due occurrence in the next 24 months or odds of 2 out of 1,000 consumers A consumer with a VantageScore® credit score of 560 will have a 35% chance they will have a 90 day or greater past due occurrence in the next 24 months or odds of 350 out of 1,000 consumers This concept comes to life in light of changes being made on the regulatory front from the FDIC in the new proposed large bank pricing rule, which will change the way large lenders define and calculate risk for their FDIC Deposit Insurance Assessment. One of the key changes is that the traditional three-digit credit score used to set its risk threshold will be replaced with “probability of default” (PD) metric. Based on the proposed rule, the new definition for a higher risk loan is one that has a 20% or higher probability of defaulting in two years. The new rule has a number of wide-ranging implications. It will impact a lender’s FDIC assessment and will allow them to uniformly and easily assess risk regardless of their use of proprietary or generic credit risk scoring modes. In part 2, I will dispel some common consumer myths about credit scores and how lenders can provide credit education to their customers.


