Applied AI Engineer, Non-Financial Risk

Our team in the Risk Management Group provides assurance and independent challenge across both traditional models and AI-powered use cases. We focus on how models are built, used, and governed, combining established approaches with emerging AI validation capabilities to support safe and effective decision-making.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

You will work across process and technology improvement, as well as AI model validation, helping to shape how model risk management evolves. You will write clean Python code, build lightweight data pipelines, and turn data into clear insights. You will use modern development approaches, including machine-assisted techniques, to refine solutions. You will bring curiosity and a problem-solving mindset to complex challenges, delivering pragmatic outcomes with risk-adjusted quality and a strong commitment to excellence-while continuing to learn and apply your skills in a real-world environment.

What you offer

• 4-5+ years of experience in a quantitative, analytical, or data-focused role across any sector
• Strong Python skills, with the ability to write clean, testable, and maintainable code
• Practical SQL skills, with confidence working across datasets (without requiring expert-level depth)
• A numerate background in mathematics, statistics, engineering, computer science, or a related field
• Curiosity, adaptability, and a collaborative mindset, with the ability to navigate ambiguity and deliver high-quality outcomes pragmatically.

What we offer

• 1 wellbeing leave day per year
• Up to 5 additional service bonus leave days per year
• Up to 20 weeks' paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks' paid leave for non-primary caregivers
• 2 days of paid volunteer leave and donation matching
• Up to 12 months' gender affirmation leave, including 6 weeks' paid leave
• Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
• Access to a wide range of salary packaging options
• Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
• Hybrid and flexible working arrangements, dependent on role
• Reimbursement for work from home equipment

About the Risk Management Group

Our Risk Management Group works as an independent, and centralised function, responsible for independent and objective review and challenge, oversight, monitoring and reporting in relation to Macquarie's material risks. We are a global team that aims to manage the risks of today and anticipate the risks of tomorrow. Our divisions include compliance, credit, financial crime risk, market risk, operational risk, aggregate risk and prudential, and central.

Our commitment to diversity, equity and inclusion

We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team. Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.