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Provided statistical consulting on the development of initial artificial neural network systems for real-time detection of credit card fraud for a leading fraud and credit risk modeling software firm.

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Testified on behalf of a major issuer of retail credit cards involved in a confidential tax dispute with the Internal Revenue Service (IRS). Analyzed beneficial life of store credit card receivables by drawing on the company’s point-of-sale data, credit card data, marketing and promotion activities, and customer demographic information.

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Developed state-of-the-art statistical models to account for default correlation for underwriting credit insurance; models became the standard tools for the country’s largest credit insurance firm.

Our experts have served as consulting experts and analyzed data for a major credit card transaction processor. Managed development and implementation of artificial neural network credit card fraud model and created strategies to integrate results into business systems. Expanded scope of original product to include capabilities for strategic pricing and account management campaigns.

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Developed and managed the marketing and analysis department for a major auto finance company. Created four new direct marketing programs, including the introduction of direct-to-consumer lending products. Aligned price and risk-on-product tiers to achieve above-hurdle return on investment (ROI) performance on all products and customer segments. Constructed target population segmentation algorithms to maximize ROI and net present value (NPV) of marketing expenditures. Built and instituted credit risk models to lower risk while raising approval rate. Marketing and product improvements resulted in 100 percent growth rates while reducing credit risk exposure. The business line currently contributes a significant portion of the firm’s non-credit card net income.