Data Analyst-Model Governance Specialist

3 hours ago

Fort Worth Texas, United States GM Financial Full time
About the Role

The Data Analyst-Model Management is a critical position within GM Financial, responsible for ensuring the effective governance, monitoring, and validation of data science models. This role acts as a first line of defense in relation to the Enterprise Model Governance policy, interfacing with model development teams, the MLOps team, and various compliance and oversight functions to manage model risk.

Key Responsibilities
  • Establish and maintain best practices for model management, ensuring compliance with existing policies and procedures.
  • Develop and implement model monitoring routines, including migration to cloud-based tools.
  • Ensure models are being routinely monitored, with metrics published, interpreted, and shared.
  • Develop and maintain documentation and metadata for data ingestion, preprocessing, model building, and deployment.
  • Establish operating processes and reviews to ensure timely, efficient, and effective model management.
  • Continuously support the development of new model monitoring processes and updating policies in accordance with GMF audit and model monitoring requirements.
Requirements
  • 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 proficiency in Microsoft Excel, PowerPoint, and Word.
  • Experience with data analysis and reporting.
  • Understanding and ability to build SQL queries in a data warehouse environment and data manipulation.
  • 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.
Qualifications
  • 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 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.
What We Offer
  • Generous benefits package available on day one, including 401K matching, bonding leave for new parents, tuition assistance, training, GM employee auto discount, community service pay, and nine company holidays.
  • Competitive pay and bonus eligibility.
  • Flexible hybrid work environment, with 2 days a week in office.

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