Investment Banking

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**Data Scientist | Model & AI Risk - Independent Review, Validation, and Challenge** As a Mid-level to Senior **Data Scientist** in Model & AI Risk, you'll review, challenge, and validate AI use cases, ensuring they're fit-for-purpose, operating as intended, and managed within Macquarie's risk appetite. You'll design validation approaches, assess data, methodology, and outcomes, communicating complex findings to technical and non-technical stakeholders. Collaborating across teams, you'll enable safe AI adoption and shape evolving AI validation practices. **Required skills & experience:** - Proficient in Python, R, SQL, handling large datasets - Familiarity with modern AI techniques, including large language models - Strong communication skills, clearly articulating findings to diverse stakeholders - Demonstrable self-directed learning, curiosity, and attention to detail - Experience reviewing and validating AI, machine learning, or statistical models - Courageous mindset, forming independent judgments, and balancing risks and rewards - Mid-level to Senior experience, preferred Join Macquarie's Risk Management Group, fostering a diverse, equitable, and inclusive workplace. Enjoy comprehensive benefits and hybrid work arrangements.

Compensation: Not specified
City: Sydney
Country: Australia

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Data Scientist | Model & AI Risk

Additional office locations

Sydney

Job ID

22096

Date

05-May-2026

Permanent - Full time, Mid-level, Mid-senior, Senior

Job category

Risk Management, Technology - Data Scientist

Apply now

Our Model Risk Management team provides independent oversight and challenge of model and AI risks are well managed across Macquarie globally. We assess whether models and AI systems are fit for purpose, appropriately controlled, and aligned to the firms risk appetite and to regulatory expectations. The team plays a critical role in enabling safe adoption of models and AI by providing robust validation, clear challenge and sound risk-based decisions.

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. Youll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

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As a Data Scientist within Model Risk Management, you will independently review, challenge and validate artificial intelligence use cases across the firm. Your work will assess whether AI systems are fitforpurpose, operate as intended and ensure that the risks introduced are understood, appropriately controlled, and remain within the Macquaries risk appetite.

You will design and execute proportionate validation approaches, assess data, methodology, assumptions, and outcomes, and clearly articulate findings to technical and nontechnical stakeholders. Your analysis and judgement will directly inform model approvals, usage decisions, and risk acceptance.

Working closely with, but independently from, model developers, product owners, and business stakeholders, you will provide constructive challenge that enables safe and sustainable AI adoption. You will also contribute to the evolution of AI validation practices, tooling and standards within the team, sharing knowledge and strengthening collective capability.

What you offer

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A courageous mindset and a demonstrated track record of selfdirected learning, with the curiosity and discipline to stay ahead ofC rapidly evolving AI techniques and risks
Attention to detail and a knack for identifying problems
Experience developing or independently reviewing and validating artificial intelligence, machine learning, or statistical models
Strong programming capability in Python, R, or SQL, with experience interrogating large and complex datasets
Familiarity with modern AI techniques, including large language models, their limitations, failure modes, and associated risks
Strong communication skills, with the ability to explain technical concepts and risk tradeoffs clearly to both technical and senior nontechnical stakeholders
A structured, analytical, and sceptical mindset, with the ability to form independent judgement to make sound, commercial decisions balancing risks and rewards and to prioritise work in a collaborative environment.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

What we offer

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At Macquarie, youre empowered to shape a career thats rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on employment type, include:

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

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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 Macquaries 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

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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 by clicking here.

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.

Full Job Description

Jobs

Jobs
Featured jobs

Back to search

Data Scientist | Model & AI Risk

Additional office locations

Sydney

Job ID

22096

Date

05-May-2026

Permanent - Full time, Mid-level, Mid-senior, Senior

Job category

Risk Management, Technology - Data Scientist

Apply now