Key Responsibilities & Operational Scope

• Data and AI Risk audit team, you will lead end-to-end audit engagements spanning Machine Learning models, Gen AI use cases, AI Agents, and broader AI platforms.
• Spearhead uplifting the AI risk internal audit strategy and capability.
• Coordinate and execute shaping how we deliver dedicated AI risk audits to assess the effectiveness of risk management controls relevant for AI solutions including data, privacy, cyber security, third party and model risk.
• Additionally shape our approach and deliver upon how AI use cases are evaluated as part of integrated business audits.
• Through these reviews, you will gain exposure to a broad range of business processes and stakeholders.
• Lead and steer ing day-to-day delivery within the AI risk portfolio, monitoring business developments, and for leading relevant Subject Matter Experts in end-to-end audits to test AI risk controls.
• Coordinate and execute identifying control weaknesses, sharing insights and recommendations for improvement, and supporting the team in preparing high-quality audit reports for Senior Management and the Board Audit Committee.

Candidate Profile & Required Qualifications

• Leadership capability to support the model, data and AI risk audit team, including exercising sound technical judgement, helping resolve blockers, and providing effective review and challenge of audit work.
• Understanding of modern AI architectures, platforms, and governance controls across the end-to-end AI development and operation lifecycle, and the relevant risks associated with AI use.
• Experience as an AI model developer or practitioner, including testing and monitoring of AI model inputs, methodologies, and outputs, with the ability to assess and re-perform model testing such as benchmarking, red-teaming, evaluation with the use of metrics to measure accuracy, recall, bias, and drift.
• Communication skills, with demonstrated ability to build relationships, influence senior stakeholders, and clearly articulate complex issues to Board-level audiences.
• Prior internal audit experience is beneficial but not essential.
• We welcome candidates from model development, model validation, AI engineering, data science, AI governance and risk management backgrounds.

What Macquarie Offers

• Market-Leading Rewards: Competitive base remuneration supplemented by performance-linked incentive programs.
• Flexible Work Frameworks: Modern hybrid working arrangements supporting professional productivity and personal balance.
• Professional Development: Clear internal mobility pathways, technical skill enhancement, and professional accreditation support.
• Comprehensive Wellbeing: Access to employee assistance programs, holistic healthcare coverage, and dedicated wellbeing initiatives.
• Global Network & Impact: Collaborative engagement with cross-border teams across the Americas, EMEA, and Asia-Pacific regions.

Core Competencies & Key Technical Focus