Sales people are good at sales, not data. I interpret the pain points and then make sales faster. Fun thing I am currently working on: RedTeaming our AI implementationsMoody’s Analytics, a unit of Moody’s Corporation, helps capital markets and credit risk management professionals worldwide respond to an evolving marketplace with confidence. The company offers unique tools and best practices for measuring and managing risk through expertise and experience in credit analysis, economic research and financial risk management. By offering leading-edge software and advisory services, as well as the proprietary credit research produced by Moody’s Investors Service, Moody’s Analytics integrates and customizes its offerings to address specific business challenges.

Principal data evangelistShort Term Pet Project: Imagine a field you rely on has been correctly populated 90% of the time. Is that good or bad? If banks similar to yours are at 80%, probably good. If 100%, you may have room for improvement. Currently working on a tool that takes both your bank data and peer bank data into account when rating your bank's data quality. Long Term Pet project: Growing an agriculture data consortium to enable stronger credit decisions by pooling data to power validated models and scorecards. Crop, livestock, dairy and feedlot scorecards now available.

Acquisition Risk Officer Managed Acquisition Risk Team Responsible for credit card acquisition risk strategy and policy at a top issuer– Worked with regulators, vendors and all internal departments– Increased underwriting automation to improve instant issuance – Developed comprehensive validation process to insure integrity of strategies– Designed strategy to underwrite customers with little credit history– Oversaw development of behavior based credit line assignment

 Responsible for strategy, scoring and implementation for collection/recovery. Managed collections systems for Risk Managed team responsible for implementation, tracking, and ad hoc analysis.– Established strong partnerships between Risk and other areas, aligning interests and gaining buy-in– Designed process to pass variables to collections systems, cutting implementation from months to days– Innovated new variables to improve model performance, introduction of sloppy payer variable helped reduce early delinquency outbound dialing by 8% while maintaining cure rate– Converted Wachovia to Wells successfully– Implemented automated valuation model driven charge off decisions to reduce costs by $500K/year– Intuitively understood call center risk from new regulations. Brought concerns to stakeholders, and proactively stored and structured data, safeguarding Wells from numerous class action lawsuits

 Consulted with large financial institutions to design and implement solutions– Developed early warning scoring with Chase Bank to fill the gap between acquisition decision and the maturation of behavior models, enabling improved line management– Optimized early delinquency actions for Well Fargo to reduce resource needs while improving service and maintaining cure rate– Partnered with FDR to build non-sufficient funds solution for sub-prime lender Premier Bankcard to determine payment float length and amount, reducing credit risk while increasing ability to lend– Standardized credit bureau raw data to enable solutions to use any or all bureaus– Halved credit card issuance time for MBNA through process improvement and automation– Combated terrorism with Department of Defense using solutions similar to those for finding fraud

 Served as business architect for data clearinghouse, warehouse and marts Led team in translation of information from multiple legacy systems into a company-wide platform– Clientized and householded all accounts at enterprise level– Initiated switch from list based to customer based direct to consumer marketing– Worked with vendors to evaluate and select data mining and CRM tools – Combined ACORD, IAA and other data standards to design best data structure– Recognized for outstanding performance and lasting contribution on CRM projects

 Managed and prioritized contact channel enhancement projects for merchant processing division Ran special projects for senior management – Established accepted methodology for prioritizing projects and assigning resources – Automated call center reporting for efficiency and reduced errors– Analyzed enterprise insurance plans, reducing costs by $500K while increasing coverage– Developed scorecards to trigger fraud checks of suspect merchants