Frederick Gill Email and Phone Number

Proudly supporting Payment Integrity Fraud Operations for OPTUM

A member of the Business Intelligence team within Optum's Fraud, Waste, Abuse, and Error (FWAE) organization.

- Managed and developed a highly technical loss forecast team of five employees that maintained the analytical framework and supported monthly credit loss tracking and reporting;- Directed the execution, maintenance, and analysis of credit risk policies related to loss forecasting and annual operational planning guaranteeing full compliance with both local and foreign regulators;- Assisted Risk Management in formulating and implementing loss forecast techniques to control a variety of… Show more - Managed and developed a highly technical loss forecast team of five employees that maintained the analytical framework and supported monthly credit loss tracking and reporting;- Directed the execution, maintenance, and analysis of credit risk policies related to loss forecasting and annual operational planning guaranteeing full compliance with both local and foreign regulators;- Assisted Risk Management in formulating and implementing loss forecast techniques to control a variety of risk exposures, particularly in the areas of credit, reserves and operational planning;- Worked closely with business, collections and credit teams to develop sustainable strategies to meet customer needs, maximizing profitability, and minimizing credit risk; Show less

- Conducted due diligence reviews on annual operational plans in a thorough and timely manner to ensure the credit quality was acceptable to both the Bank and the foreign regulators;- Developed monthly executive risk summary reports for respective business units and senior management, in addition to periodic reports for Brazilian, European and US regulators;- Improved existing forecasts through the evaluation of new data sources, such as macroeconomic data, vintage level and credit data;

- Maintained portfolio level loss forecasting at a vintage and segment level, including the completion of back testing to ensure accuracy of models and the completion of stress testing analysis;- Conducted tracking, reporting and data management necessary to support the forecast process end-to-end: data gathering, quality assurance, actual vs. forecast reports;- Improved existing forecasts through the evaluation of new data sources, such as macroeconomic data, vintage level credit data.