Model Risk Associate, AI Risk Management

What you'll do

• Assess AI/ML and generative AI systems to translate technical realities into clear risk language for partners.
• Advise first-line teams on tailoring risk management guidance and mitigation strategies for specific AI use cases.
• Update risk controls and guidance to address emerging technologies like agentic AI before scaled deployment.
• Design and build AI agents, automations, and purpose-built tooling to operationalize risk management.
• Assemble audit-ready evidence and produce timely responses to regulator and examiner inquiries.
• Lead advanced analytics projects by defining scope, project timelines, and risk/control matrices.
• Design analytics solutions using statistical, database, and programming languages like SQL and Python.
• Review analytic solution designs and provide coaching to project team associates.

What we're looking for

• Undergraduate studies in statistics, actuarial science, engineering, or a related quantitative field.
• MBA or business science degree (preferred).
• Typically eight or more years of related work experience.
• Proven understanding of advanced analytics theory and experience applying it to a key project or program.
• Proficiency in SQL, Python, and various database technologies including relational and unstructured data.
• Strong verbal and written communication skills to interact with all levels of associates, senior management, and vendors.
• Ability to lead advanced analytics projects and collaborate with cross-functional teams to drive execution.
• Work authorization.