Data Analyst-Model Management - GM Financial

Why GM Financial Data Science? 

GM Financial Data Science focuses on communicating imporant data as part of GM Financial, the wholly owned subsidiary and captive finance arm of General Motors. Our Data Science team drives strategic decisions in the auto finance sector by bridging business functions, data science, and IT. We make data science initiatives accessible and engaging, fostering a data-driven culture.

As a Data Analyst - Graphic Designer, you will collaborate closely with both data science teams and business functions. Our team values clear communication, innovative thinking, and staying updated with industry trends. If you excel at simplifying complex concepts, creating visual narratives, and driving data-based decisions, you'll thrive here.

Joining our team means being part of a dynamic environment with opportunities to work on Azure and Adobe Cloud platforms. You'll develop skills in creating compelling visualizations and narratives, making data science impactful and understandable. If you're looking to grow your career with a forward-thinking company that values creativity and data-driven decisions, this is the place for you.

About the role

The Data Analyst-Model Management is responsible for various aspects of model management: governance, monitoring, validation and related special projects. The primary activities will be establishing best practices, ensuring compliance with existing policies and supporting model monitoring routines including migration to cloud-based tools. This position acts as a first line of defense as related to the Enterprise Model Governance policy. This position will primarily interface with model development teams, the MLOps team, and various compliance and oversight functions to ensure that model risk is managed appropriately.

• Responsible for creating, maintaining, and updating model management processes for Data Science models that support model management policies
• Ensure models are being routinely monitored with metrics published, interpreted, and shared
• Ensure appropriate documentation and meta-data are produced from data ingestion, pre-processing, model building to deployment
• Ensure operating processes and reviews are established as a timely, efficient, and effective
• Continually support the development of new model monitoring processes and updating policies in accordance with GMF audit and model monitoring

What makes you a dream candidate?

• Knowledge of the Data Science lifecycle and steps required to develop, validate, deploy, and monitor models
• Knowledge of MLOps highly desirable
• Experience with data mining, data querying and knowledge of on-premise (or cloud-based) data management tools
• Knowledge of statistical modeling techniques for prediction and classification
• Knowledge of Operations Research methodologies for optimization and simulation
• Advanced with Microsoft Excel, PowerPoint, and Word
• Experience with data analysis and reporting
• Understand and build SQL queries in a Data Warehouse environment and data manipulation
• Run and understand code built by others for cleaning data and building statistical model in SAS and Python
• Ability to work with minimal supervision
• Ability to tailor different concepts to various audiences
• Proficiency in Power BI development, including report and dashboard creation
• Experience in Azure DevOps Agile practice
• Working knowledge of Databricks platform

Experience:

• Bachelor's degree in Economics, Mathematics, Statistics, Computer Science or other quantitative field; degrees in non-quantitative fields considered with adequate work experience required
• Master’s Degree in in Statistics, Economics, Mathematics, Computer Science
• 0-2 years experience working with and querying large datasets
• 0-2 years experience with source code management tools like git
• 0-2 years experience in statistics and Machine Learning Model Governance experience 

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 — 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: Flexible hybrid work environment, 2-days a week in office

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