Senior Audit Manager, Models, AI and Data

at  COMMONWEALTH BANK OF AUSTRALIA

YOUR EXPERIENCE

We are interested in hearing from people who have:

• Hands-on experience in developing, validating and reviewing models.
• Academic background in quantitative fields like engineering, mathematics, quantitative finance
• Strong understanding of the landscape of Artificial Intelligence and model risk management including local and international regulations
• Proven leadership managing audit teams and projects with model governance focus.
• Excellent analytical and problem-solving skills to assess model risks.
• Ability to simplify complex model concepts and effectively communicate insights.
• Strong project execution skills to deliver across competing priorities.
• Relationship management skills to collaborate with stakeholders.
• Tertiary Qualifications - hold a tertiary qualification in engineering, finance, or an equivalent business-related discipline.

YOUR ROLE

As a Senior Audit Manager for Models, AI, and Data, you will be part of a team of subject matter experts (SMEs) with a strong background in Model Risk, Artificial Intelligence, and Data Management. You and your team will provide objective assurance on the risks and controls and work closely together with the business audit teams to ensure adequate coverage is provided. Further, you will closely liaise with risk stewards, the relevant departments and line 2 to ensure appropriate coverage and continuously monitor the business.

YOUR RESPONSIBILITIES

• Active management of reviews assessing Artificial Intelligence models and traditional models for accuracy, performance, regulatory compliance, and alignment with bank policies and risk appetite
• Identify and evaluate model risks related to data, robustness, biases; ensure compliance.
• Design and execute validation testing to challenge model assumptions and outcomes.
• Ensure audit activities comply with relevant laws, regulations, and guidelines.
• Collaborate with model developers and business teams to build risk-aware culture and provide guidance.
• Deliver pragmatic insights, findings and improvement recommendations to stakeholders and governance committees.
• Maintain relationships with leadership and regulators to progress strategic model governance.
• Advise senior leadership on emerging AI risks and how to manage them.
• Maintain strong relationships with the GA&A leadership team, Regulators and External Audit to gain input and buy-in to strategic initiatives.