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By: Kennis Wong In the last entry, I mentioned that consumers’ participation in protecting their own identity information is an important aspect of an identity theft prevention program to minimize fraud loss. Large financial institutions are starting to take charge in educating their customers, but others are having a hard time investing in such initiatives. I do understand that it is difficult to establish a direct linkage of revenue and positive return on investment for this type of activities. Business may view customer education of identity protection as a public service but not a necessity. After all, if my customer loses his identity information, it doesn’t necessarily mean that identity fraud will happen to my very own organization. But educating customers about identity protection and fraud trends can be a marketing tool and can increase customer loyalty, in additions to actual fraud prevention. Although consumers may not be aware of all the precautions they can take to protect their identity, undoubtedly identity theft is a hot topic in the media today. If there are two banks providing about the same service, but one of them goes an extra mile to provide me education on preventing identity theft, I would go with that bank. Also, as a financial institution, if my customers understand identity protection more, they would understand why I am putting some procedure in place and would be glad to comply with them. For example, they would be more patient when spending another minute in answering knowledge-based authentication questions, so that for their own protection, the bank can assure they are the true identity owners. Consumers can also actively monitor their credit report, whether through the bank or through other third party vendors. When consumers receive fraud alert from activities that could be a result of identity theft, they can actively contact the financial institutions about the situation. The sooner the identity fraud is discovered, the better off for both the consumers and the businesses.

By: Kari Michel How are your generic or custom models performing? As a result of the volatile economy, consumer behavior has changed significantly over the last several years and may have impacted the predictiveness of your models. Credit models need to monitored regularly and updated periodically in order to remain predictive. Let’s take a look at VantageScore, it was recently redeveloped using consumer behavioral data reflecting the volatile economic environment of the last few years. The development sample was compiled using two performance timeframes: 2006 – 2008, and 2007 – 2009, with each contributing 50% of the development sample. This is a unique approach and is unlike traditional score development methodology, which typically uses a single, two year time window. Developing models with data over an extended window reduces algorithm sensitivity to highly volatile behavior in a single timeframe. Additionally, the model is more stable as the development is built on a broader range of consumer behaviors. The validation results show VantageScore 2.0 outperforms VantageScore 1.0 by 3% for new accounts and 2% for existing accounts overall. To illustrate the differences that were seen in consumer behavior, the following chart and table show the consumer characteristics that contribute to a consumer’s score and compare the characteristic contributions of VantageScore 2.0 vs VantageScore 1.0. Payment History Utilization Balances Length of Credit Recent Credit Available Credit Vantage Score 2.0 28% 23% 9% 8% 30% 1% Vantage Score 1.0 32% 23% 15% 13% 10% 7% As we expect ‘payment history’ is a large portion driving the score, 28% for VantageScore 2.0 and 32% for VantageScore 1.0. What is interesting to see is the ‘recent credit’ contribution has increased significantly to 30% from 10%. There also is a shift with lower emphases on balances, 9% versus 15% as well as ‘length of credit’, 8% versus 13%. As you can see, consumer behavior changes over time and it is imperative to monitor and validate your scorecards in order to assess if they are producing the results you expect. If they are not, you may need to redevelop or switch to a newer version of a generic model.

By: Kennis Wong As a fraud management professional, naturally I am surrounded by fraud prevention topics and other professionals in the field all the time. Financial, ecommerce, retail, telecommunication, government and other organizations are used to talking about performance, scoring models, ROI, false-positives, operational efficiency, customer satisfaction trade-off, loss provisioning, decisioning strategy or any other sophisticated measures when it comes to fraud management. But when I bring up the topic of fraud outside of this circle, I am always surprised to see how little educated the general public is about an issue that is so critical to their financial health. I met a woman in an event several weeks ago. After learning about my occupation, she told me her story about someone from XYZ credit card company calling her and asking for her Social Security number, date of birth and other personal identifying information. Only days after she gave out the information that she realized things didn’t seem right. She called the credit card company and got her credit card re-issued. But at the time I talked to her, she still didn’t know enough to realize that the fraudster could now use her identity to start any new financial relationship under her name. As long as consumers are ignorant about protecting their identity information, businesses’ identity theft prevention program will not be complete and identity fraud will occur as a result of this weak link. To address this vulnerability and minimize fraud, consumers need to be educated.


