AI Risk & Governance Analyst

BECU 

Washington

Hybrid

USD 88,000 - 108,000

Full time

11 days ago

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Benefits offered by this job

401(k) Company Match (up to 3%)
Medical, Dental and Vision
PTO Program + Exchange Program
Tuition Reimbursement Program
BECU Cares volunteer time off + match

Job summary

BECU, a leading financial services cooperative, seeks an Enterprise Risk Analyst – AI Risk to guide responsible AI adoption. You will identify, assess, and monitor AI-related risks while strengthening governance and risk practices across the organization.

You’ll partner with technology, governance, compliance, and business leaders to translate complex AI risks into actionable guidance and metrics that protect members and ensure regulatory alignment.

Qualifications

  • Bachelor's degree in finance or statistics or related quantitative field.
  • 1 year of Enterprise Risk or Audit experience; 2 years preferred.
  • Experience supporting AI Risk Management or AI Governance is preferred.
  • Knowledge of AI, machine learning, data analytics, and regulatory expectations.

Responsibilities

  • Identify, assess, and monitor risks related to AI, ML, and generative AI across the organization.
  • Review AI systems, models, data, and processes to support governance and risk management.
  • Develop risk analytics, dashboards, testing procedures, and reports for risk assessment.
  • Collaborate with technology, governance, compliance, and business leaders on risk-based decisions.

Skills

Risk management
Analytical skills
Collaboration across teams
Problem solving

Education

Bachelor's degree in finance/statistics or related field

Tools

Python
SQL
R
SAS
Power BI
Tableau
GRC platforms

Job description

BECU, a leading financial services cooperative, seeks an Enterprise Risk Analyst – AI Risk to guide responsible AI adoption. You will identify, assess, and monitor AI-related risks while strengthening governance and risk practices across the organization.

You’ll partner with technology, governance, compliance, and business leaders to translate complex AI risks into actionable guidance and metrics that protect members and ensure regulatory alignment.

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