Enterprise Risk Analyst - AI Risk
$88,000–$107,500 year
RemoteWashington, United States
Job Summary
Conduct AI risk assessments by partnering with stakeholders to identify, assess, and evaluate risks associated with machine learning, generative AI, and emerging technologies. Perform independent reviews and validations of AI systems, models, tools, and processes to support governance, while maintaining an inventory of AI models and tools through registration, classification, and periodic review. Monitor AI-related risks and controls, develop risk analytics, dashboards, and reports, and research evolving technologies and regulatory developments to inform organizational strategies. Evaluate both internal and external AI solutions for control effectiveness and alignment with policies, providing practical risk guidance and actionable insights to enterprise leaders. This role supports responsible AI adoption across the organization, balancing innovation with risk management within a purpose-driven financial cooperative.
Required Qualifications
- Bachelor's degree with course work in finance/statistics/other quantitative areas
- 1 years of applicable Enterprise Risk or Audit experience
- residents of WA, OR, ID, AZ, TX, GA, SC, NC, CA or VA
- If you're located in Washington state and within a reasonable driving distance from Tukwila, we are requesting that you come into our HQ on Tuesdays & Wednesdays
- For those candidates that live outside the commute distance of TFC and in any of our approved remote work locations, this role will be remote
Desired Qualifications
- 2 years preferred
- Risk and control knowledge, including internal controls, risk management principles, and governance frameworks
- Experience supporting AI Risk Management, AI Governance, Model Risk Management, Emerging Technology Risk, or similar programs
- Knowledge of artificial intelligence, machine learning, generative AI, data analytics, and evolving regulatory expectations for responsible AI use
- Experience evaluating AI-related risks, controls, and governance frameworks
- Experience with Python, SQL, R, SAS, Power BI, Tableau, GRC platforms, or similar analytical and risk management tools
- Analytical, problem-solving, research, communication, and project management skills
- Experience collaborating across business, technology, governance, and risk teams to influence risk-based decision-making
- Financial services, banking, credit union, or other highly regulated industry experience
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