PAY RANGE

The Target Pay Range for this position is $88,000.00-$107,500.00 annually. The full Pay Range is $68,300.00 - $127,500.00 annually. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

BENEFITS – because people helping people starts with supporting you

• 401(k) Company Match (up to 3%)

• 4% annual contribution to your 401(k) by BECU

• Medical, Dental and Vision (family contributions as well)

• PTO Program + Exchange Program

• Tuition Reimbursement Program

• BECU Cares volunteer time off + donation match

IMPACT YOU’LL MAKE:

As an Enterprise Risk Analyst - AI Risk, you'll help shape how BECU responsibly adopts and manages artificial intelligence across the organization. You'll play a critical role in identifying, assessing, and monitoring risks associated with AI, machine learning, generative AI, and other emerging technologies. By strengthening AI governance, oversight, and risk management practices, you'll help protect member data, reinforce trust, and support innovation that benefits our members and communities. Your expertise will influence risk conversations across the enterprise while helping BECU balance innovation with responsible decision-making.

To join our dynamic team, we require candidates to be 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. Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment.

WHAT YOU’LL DO:

• AI Risk Assessments: Partner with stakeholders across the organization to identify, assess, and evaluate risks associated with AI, machine learning, generative AI, and other AI-enabled solutions.
• Independent Review & Challenge: Assist with and independently perform reviews and validations of AI systems, models, tools, data, and processes to support effective AI governance and risk management.
• Risk Monitoring: Monitor AI-related risks, controls, and performance indicators, helping ensure emerging risks are identified and appropriately addressed.
• AI Governance Support: Contribute to the development and execution of AI governance processes, frameworks, and oversight activities within the Enterprise Risk Management program.

• Enterprise AI Inventory Management: Maintain BECU's inventory of AI models, tools, and agents, including registration, risk classification, monitoring, and periodic review processes.
• Third-Party & Internal Solution Reviews: Evaluate both internally developed and externally sourced AI solutions to assess potential risks, control effectiveness, and alignment with organizational policies and regulatory expectations.
• Control Evaluation: Review AI-related controls and provide practical risk guidance that supports responsible AI adoption across the enterprise.

• Risk Analytics & Reporting: Develop analyses, testing procedures, dashboards, monitoring tools, and reports that support AI risk assessment, benchmarking, performance monitoring, and management reporting.
• Emerging Technology Research: Research evolving AI technologies, industry trends, standards, and regulatory developments to help inform organizational risk strategies and governance practices.
• Quantitative Risk Support: Apply analytical and quantitative techniques to support Enterprise Risk Management and Quantitative Risk Management initiatives, including special projects and risk-related analyses.

• Stakeholder Collaboration: Build strong partnerships with technology teams, AI stakeholders, governance partners, compliance professionals, and business leaders to support enterprise-wide AI initiatives.
• Risk Advisory: Translate complex AI risks into actionable business insights and recommendations that enable informed decision-making.

This isn’t just about ticking off tasks on a list. It's about making a significant, positive change in BECU’s journey, where your contributions are valued, and your growth is continually fostered.

WHAT YOU’LL GAIN:

• Shape the Future of AI Risk: The opportunity to help shape and mature AI risk management practices at a leading financial institution.
• Exposure to Emerging Technologies: Work with cutting-edge AI technologies, including machine learning, generative AI, and emerging intelligent systems.
• Enterprise-Wide Visibility: A highly visible role that partners with leaders across Risk, Technology, Governance, Compliance, and Business teams.
• Strategic Influence: The ability to influence how AI is responsibly implemented and governed throughout the organization.
• Specialized Career Growth: Professional growth within Enterprise Risk Management while developing expertise in one of the fastest-growing areas of risk management.
• Governance & Regulatory Impact: Opportunities to contribute to AI governance strategies, regulatory readiness efforts, and enterprise-wide risk initiatives.
• Collaborative & Innovative Culture: An environment that values curiosity, collaboration, continuous learning, and innovation.
• Purpose-Driven Work: Meaningful work that helps strengthen member trust, protect data, and support responsible technology adoption.

QUALIFICATIONS:

Minimum Qualifications

• 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.

Desired Qualifications

• 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.