AVP Data Science

Overview:

Why GM Financial?

GM Financial is set to change the auto finance industry and is leading the path of embarking on tech modernization we have a startup mindset, and preserve our small company culture, in a public company environment with financial stability and intense growth over a decade-plus history.

We are data junkies and trust in data and insights to advance our business objectives. We take our goal of zero emission, zero collision, zero congestion, and zero friction very seriously. We believe as an auto finance market leader we are in the driver's seat to lead us in the GM EV mission to change the world.

We are building global platforms, in LATAM, Europe, China, U.S. and Canada and we are looking to grow our high-performing team. GMF is comprised of over 10,000 team members globally. Join our fintech culture within a Blue-Chip company where we are changing the way we use technology to support our customers, dealers, and business.

Responsibilities:

About the role:

The AVP Data Science is responsible for managing a department of data scientists; summarizing, reporting and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives; and implementing the design, development, deployment and maintenance of predictive/prescriptive/statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing.The AVP will also lead and guide the data science team with modeling expertise in forecasting, optimization, data mining, analysis and analyzing complex datasets; lead and guide in the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms; and lead and guide in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance.The AVP is the subject matter expert with an in-depth knowledge of quantitative methods and diligent knowledge of data sources and tools.

In this role, you will:

• Manages a team of Data Scientists
• Leads in conducting research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the Business
• Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
• 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
• Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership
• Prioritizes tasks and meets project deadlines in a fast-paced work environment
• Perform other duties as assigned
• Conform with all company policies and procedures

Reporting Relationship:

• Reports to: VP Data Science

Qualifications:

What makes you a dream candidate?

• Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability and statistics
• Ability to identify and understand business issues and map these issues into quantitative questions
• Comprehensive knowledge and experience with technical systems, datasets, data warehouses and data analysis techniques
• Proficiency in experimental design, ability to design and implement documentation and monitoring protocols
• Advanced knowledge of principles, standards, practices and techniques relating to quantitative analysis for a financial firm
• 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, Word and PowerPoint
• Efficient quantitative skills with very large datasets
• Lead, coach and/or mentor to Data Scientists
• MS Office required
• Proficient in at least one of Python, R or SAS
• Ability to lead technical professional and influence their technical and leadership development
• 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
• Ability to identify and seek needed information/research skills
• Analytical thinking skills
• Ability to interact collaboratively with internal and external customers
• Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure
• Strong problem-solving skills

Education:

• Bachelors Degree required
• Masters Degree in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Psychics, Computer Science or similar quantitative field PhD is preferred required

Experience:

• Extensive experience presenting highly complex analysis to upper management is required
• 7-10 years experience in modeling required
• 3-5 years experience in management and/or leadership required

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Our Culture: Our team members define and shape our culture. We have an environment that welcomes new ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than. work we thrive.

Compensation: Competitive salary and bonus eligibility; this role is eligible for company vehicle program.

Work Life Balance: Flexible hybrid work environment, 3-days a week in office.

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