Risk Statistician

Why Risk Statistician?

The Risk Statistician plays a role in supporting the portfolio forecasting team, and providing statistical support and expertise to projects originating from the Portfolio Forecasting group within Risk Management. This position focuses on assisting in the design and development of complex portfolio forecasting models, analysis of credit performance within the broader auto finance market, and developing and maintaining credit score based loss models. These models are used to support corporate planning, financing loan pricing operations, and the Allowance for Loan Losses. In addition, this position is responsible for completing ad-hoc statistical analyses of factors relating to originations and portfolio performance, under the guidance of a Senior Statistician or AVP.

About the role:

• 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
• Gathering and analyzing data to determine impact to business operations

What makes you an ideal candidate?

• 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
• 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
• 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

   

• Understanding of the metrics utilized in monitoring the performance of a consumer lending portfolio is a plus