Risk Statistician

GM Financial • Fort Worth, TX

2h

About The Position

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

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
• Gathering and analyzing data to determine impact to business operations

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed