GM Financial is looking to implement predictive/prescriptive/statistical models in various business areas like originations, collections, risk, pricing, fraud, customer experience, and marketing to improve operations and answer business questions.
Requirements
- Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques
- Advanced skills in Python, SAS, SQL, R, JMP, Excel, PowerPoint
- Ability to design and implement model documentation and monitoring protocols
- Demonstrated understanding and experience with technical systems, datasets, data warehouses, and data analysis techniques
- Efficiently work with large datasets
- Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics
Responsibilities
- Performs research, analysis, and modeling on organizational data
- Assists in analyzing key metrics and performing data analysis
- Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
- Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
- Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
- Presents findings and analysis for use in decision making
- Ensures that the delivered products meet the business needs of the company
Other
- 0-2 years as Data Scientist or similar quantitative field required
- Master’s Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required
- Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand
- Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems
- Flexible hybrid work environment, minimum of 2-days a week in office in Fort Worth, Texas
