Enterprise Risk Analyst - AI Risk

BECU•St. David's, WA

1d•$68,300 - $127,500•Hybrid

About The Position

This role is for an Enterprise Risk Analyst focusing on AI Risk at BECU, a financial institution. The position involves identifying, assessing, and monitoring risks associated with AI, machine learning, generative AI, and other emerging technologies. The goal is to strengthen AI governance, oversight, and risk management practices to protect member data, reinforce trust, and support innovation. The role requires influencing risk conversations across the enterprise and balancing innovation with responsible decision-making. The company emphasizes a "people helping people" philosophy and a purpose-driven organization where employee contributions shape belonging and deepen connections. BECU is undergoing business and technology transformation, making it an exciting time to join.

Requirements

Bachelor’s degree with course work in finance/statistics/other quantitative areas or equivalent, relevant work experience required.
1 years of applicable Enterprise Risk or Audit experience; 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 preferred.

Responsibilities

Partner with stakeholders across the organization to identify, assess, and evaluate risks associated with AI, machine learning, generative AI, and other AI-enabled solutions.
Assist with and independently perform reviews and validations of AI systems, models, tools, data, and processes to support effective AI governance and risk management.
Monitor AI-related risks, controls, and performance indicators, helping ensure emerging risks are identified and appropriately addressed.
Contribute to the development and execution of AI governance processes, frameworks, and oversight activities within the Enterprise Risk Management program.
Maintain BECU's inventory of AI models, tools, and agents, including registration, risk classification, monitoring, and periodic review processes.
Evaluate both internally developed and externally sourced AI solutions to assess potential risks, control effectiveness, and alignment with organizational policies and regulatory expectations.
Review AI-related controls and provide practical risk guidance that supports responsible AI adoption across the enterprise.
Develop analyses, testing procedures, dashboards, monitoring tools, and reports that support AI risk assessment, benchmarking, performance monitoring, and management reporting.
Research evolving AI technologies, industry trends, standards, and regulatory developments to help inform organizational risk strategies and governance practices.
Apply analytical and quantitative techniques to support Enterprise Risk Management and Quantitative Risk Management initiatives, including special projects and risk-related analyses.
Build strong partnerships with technology teams, AI stakeholders, governance partners, compliance professionals, and business leaders to support enterprise-wide AI initiatives.
Translate complex AI risks into actionable business insights and recommendations that enable informed decision-making.