Oversee the AI Model Governance program for Fraud Data Science and AI, collaborating with developers and vendors to ensure high-quality documentation and performance monitoring for AI/ML models
Job Summary
Oversee the AI Model Governance program for Fraud Data Science and AI, collaborating with developers and vendors to ensure high-quality documentation and performance monitoring for AI/ML models.
Provide model development oversight to ensure compliance with enterprise Model Risk Operating Standards, coordinate responses to regulatory inquiries, and perform supplemental model testing.
Develop and implement best practices for leveraging Large Language Models (LLMs) to streamline fraud model governance activities and ensure adherence to enterprise standards.
Matching Summary
Oversee the AI Model Governance program for Fraud Data Science and AI, collaborating with developers and vendors to ensure high-quality documentation and performance monitoring for AI/ML models.
Skills & Requirements
Must-have
AI/ML model risk governance documentation
Python and Spark proficiency
Data visualization with Tableau
Enterprise technologies and big data
Model performance monitoring
Fraud model development oversight
Nice-to-have
Progressive thinking and growth
Collaboration and mutual success
Making a difference and impact
Graduate degree in quantitative discipline
Direct experience in Fraud Data Science
Experience with transactional data
Key Requirements
5+ years' experience in advanced analytics, data science, or AI