Overview
Risk Management, Technology - Data Scientist
Our Model Risk Management team provides independent oversight and challenge of model and AI risks across Macquarie globally. We assess whether models and AI systems are fit for purpose, appropriately controlled, and aligned to the firm's risk appetite and regulatory expectations. The team enables safe adoption of models and AI by providing robust validation, clear challenge and sound risk-based decisions.
What role will you play?
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 fit-for-purpose, operate as intended and ensure that the risks introduced are understood, appropriately controlled, and remain within Macquarie's risk appetite.
You will design and execute proportionate validation approaches, assess data, methodology, assumptions, and outcomes, and clearly articulate findings to technical and non-technical 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
* A courageous mindset and a demonstrated track record of self-directed learning, with the curiosity and discipline to stay ahead of 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 trade-offs clearly to both technical and senior non-technical 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
What we offer
At Macquarie, you're empowered to shape a career that's 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
Our Risk Management Group works as an independent, centralized 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 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.
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