The Risk Management - Portfolio Analytics team at GM Financial is primarily responsible for analyzing and forecasting credit performance for the Global Consumer and Commercial portfolios. Team members develop and maintain analytical tools and forecast models to support various departments throughout the company, and the Executive Team.
Requirements
- Advanced knowledge of applied statistical methodologies
- Knowledge of quantitative, analytical and data mining
- Knowledge of SAS, Excel, Word and PowerPoint
- Knowledge of spreadsheet modeling and credit risk techniques
- Process and model documentation skills
- Advanced quantitative skills and ability to apply complex econometric principles
- Advanced quantitative skills and ability to apply complex statistical principles
Responsibilities
- Assist in the design, development, and maintenance of sophisticated statistical forecasting models and analytical tools
- Utilize data mining and advanced spreadsheet/technical skills to participate in complex forecasting, modeling, analysis, and reporting related to factors that affect portfolio performance
- Employ best practices of data analysis and model validation to ensure data results are accurate
- Promote innovative ways to visualize and digest complex data
- Effectively summarize and communicate analysis results, expectations, statistical methodology and results to management
- Assist in ad hoc research projects incorporating project design, data collection and analysis
- Monitoring and validating model performance and updating models as needed
Other
- Ability to coordinate and balance numerous tasks under pressure and meet deadlines
- Ability to identify and understand business issues and map these issues into quantitative questions
- Ability to identify emerging business issues and place them into quantitative questions
- Ability to interact collaboratively with internal customers and external vendors
- Flexible hybrid work environment, 2 days a week in the office.
