Manager Data Science

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer.

We also offer commercial lending products to dealers to help them finance and grow their businesses.

Why GM Financial? GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer.

We also offer commercial lending products to dealers to help them finance and grow their businesses.

At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive.

We pioneer the innovations that move and connect people to what matters.

This position will be posted until filled.

The Manager of Data Science is the subject matter expert with an in-depth knowledge of quantitative methods and diligent knowledge of data sources and tools. The Manager of Data Science brings a strong ability for independent learning and is therefore regarded as a technical expert in the latest advances in Data Science.

• Lead the development, deployment, and maintenance of predictive, prescriptive, and statistical models across areas such as originations, collections, risk, pricing, fraud, customer experience, and marketing.
• Provide technical leadership and mentorship to Data Scientists, guiding problem formulation, model development, deployment strategies, and adherence to Data Science best practices and processes.
• Apply advanced machine learning, statistical, forecasting, optimization, and data mining techniques to solve complex business problems and drive business outcomes.
• Lead research, analysis, and modeling efforts to quantify the impact of internal and external factors on portfolio performance and key business metrics.
• Design and execute studies utilizing descriptive analytics, supervised machine learning, and advanced statistical methodologies.
• Develop and apply innovative algorithms and models to improve operations, support decision-making, and answer complex business questions.
• Coordinate project activities, provide technical oversight, and ensure analytics solutions meet business objectives and stakeholder needs.
• Partner with business leaders to identify opportunities for analytics, provide strategic recommendations, and communicate findings to senior leadership.
• Present complex analytical findings and recommendations to a variety of stakeholders through clear, concise reports and presentations.
• Lead research initiatives from project design and data collection through analysis, recommendations, and implementation.
• Provide leadership, coaching, mentoring, and technical training to Data Scientists across the organization.
• Prioritize multiple initiatives and deliver high-quality work in a fast-paced environment.

• Advanced quantitative and analytical skills with a strong foundation in mathematics, probability, statistics, machine learning, and predictive modeling.
• Ability to translate complex business challenges into analytical…