Manager - ECR Model Risk & Governance

About the role

Economic Crime Risk (ECR) sits within CBA's Risk Management function and protects the Group, its customers and the community from financial crime, fraud and scams. The ECR Model Risk & Governance team ensures Financial Crime and Fraud models are governed, monitored and compliant with the Group Model Risk Management Framework. Reporting to the Executive Manager, ECR Model Risk & Governance, you will lead model risk and governance across all ECR-owned models, acting as the day-to-day link between model owners, developers, validators and the central governance teams.

Key responsibilities

• Maintain an accurate, current view of all ECR-owned Financial Crime and Fraud models, keeping Group Model Register records complete and up to date
• Coordinate governance activities such as fit-for-purpose reviews, risk assessments, performance monitoring, validations and approvals
• Ensure models comply with the Group Model Risk Management Framework and that required controls are executed and evidenced
• Track open model risk findings, actions and risk acceptances and drive timely closure with model owners
• Work with model owners, developers and validators on validations, reviews and remediation, and engage with central Model Risk and Model Policy teams
• Challenge model documentation, performance results and monitoring outcomes on performance, drift and limitations
• Plan and run governance sessions with senior stakeholders, and build dashboards (e.g. Power BI) on model estate health and performance
• Support internal audit, assurance and regulatory reviews with audit-ready outputs
• Build governance maturity through consistent rhythms, templates, documentation, playbooks, checklists and SOPs, and escalate issues early
• Support the Executive Manager and represent the team in working groups and forums

Required profile

• Exposure to model governance, model risk management, model validation or risk and control roles, ideally in financial services
• Understanding of Financial Crime and/or Fraud (e.g. transaction monitoring, customer risk assessment, screening)
• Experience working with model owners, developers, validators and governance teams
• Confidence preparing papers and running governance sessions with senior stakeholders
• Tertiary qualification in a quantitative, risk or related discipline, and/or financial crime credentials such as CAMS

Required skills

• Basic data science knowledge, including model performance measures, drift and stability, and reading model documentation
• Dashboards and reporting in Power BI or similar
• SQL and/or Python
• Familiarity with CBA (or equivalent) Model Risk Management frameworks and the Group Model Register