What are the responsibilities and job description for the Risk Statistician position at GM Financial?
Overview
Why Risk Management - Portfolio Analytics at GM Financial?
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. This group has high visibility with many other teams and senior leaders. Accuracy, attention to detail, working with complex data sets, and the ability to communicate results clearly are crucial in this team.
If you have an inquisitive mindset and enjoy finding meaningful insights in data, this may be the right role for you!
Our Purpose: We pioneer the innovations that move and connect people to what matters
Responsibilities
The Risk Statistician is responsible for assisting in the design, development, deployment, and maintenance of predictive models in Global Commercial Lending originations and credit risk. In addition, the position is responsible for ad hoc research projects involving optimization, data mining, and analyzing complex datasets, as well as researching innovative advanced statistical techniques.
About The Role
What makes you a dream candidate?
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Compensation: Competitive pay and bonus eligibility
Work Life Balance: hybrid, 2 days per week in the office; limited travel may be required to support business needs
#GMFjobs
Why Risk Management - Portfolio Analytics at GM Financial?
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. This group has high visibility with many other teams and senior leaders. Accuracy, attention to detail, working with complex data sets, and the ability to communicate results clearly are crucial in this team.
If you have an inquisitive mindset and enjoy finding meaningful insights in data, this may be the right role for you!
Our Purpose: We pioneer the innovations that move and connect people to what matters
Responsibilities
The Risk Statistician is responsible for assisting in the design, development, deployment, and maintenance of predictive models in Global Commercial Lending originations and credit risk. In addition, the position is responsible for ad hoc research projects involving optimization, data mining, and analyzing complex datasets, as well as researching innovative advanced statistical techniques.
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 modeling and analysis to develop models with the goal of improving operations and answering business questions
- 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
- Conduct 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 a dream candidate?
- Demonstrated understanding of data mining, data analysis and visualization, quantitative and analytical methods, statistical principles, and sophisticated statistical modeling techniques
- Demonstrated understanding of applied methodologies such as logistic regression, decision trees, and linear programming techniques
- Experience with Microsoft Excel, PowerPoint, and Word
- Experience with data analysis and modeling
- Experience with coding (SAS or SQL, and Python preferred) for data mining and transformation in a data warehouse environment, and for statistical modeling and analysis
- Demonstrated quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics
- Acute attention to detail
- Effective written and verbal presentation skills
- Capable of managing multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, and meeting deadlines
- Experience with consumer, commercial, or floorplan dealer portfolios
- Bachelor’s Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field; degrees in non-quantitative fields considered with adequate work experience required; Master’s Degree Statistics, Applied Mathematics, Econometrics, Operations Research or similar quantitative field preferred
- 0-2 years experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, data presentation, and statistical analysis and modeling; the qualified candidate will also be able to demonstrate proficiency with the following tools: SAS and/or SQL, Microsoft Excel, PowerPoint, and Word preferred
- 0-2 years experience in consumer loan or lease portfolio analysis, modeling and/or forecasting preferred
Our Culture: Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.
Compensation: Competitive pay and bonus eligibility
Work Life Balance: hybrid, 2 days per week in the office; limited travel may be required to support business needs
#GMFjobs
