At a Glance
- Tasks: Assess and audit enterprise-scale models, data, and AI capabilities to enhance risk management.
- Company: Join Macquarie, a global financial services leader with a commitment to innovation.
- Benefits: Enjoy 25+ days of leave, wellbeing support, and flexible working arrangements.
- Other info: Inclusive environment valuing diverse perspectives and offering excellent career growth.
- Why this job: Shape the future of risk oversight in a dynamic tech landscape.
- Qualifications: Experience in quantitative models, AI solutions, and strong communication skills required.
The predicted salary is between 72000 - 88000 £ per year.
Help shape the future of risk oversight in a rapidly evolving technology landscape. Joining our global Model, Data and AI Internal Audit team gives you the opportunity to assess enterprise-scale models, data and AI capabilities, helping drive confidence, transparency and accountability across some of the most innovative areas of our organisation. We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you’re empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future.
As a Senior Analyst in our Model, Data and AI Risk audit team, you will help deliver independent assurance across a diverse portfolio of models, AI solutions and data use cases that support critical business activities. Working closely with stakeholders across the organisation and reporting to senior members of the audit team, you will evaluate how models, AI technologies and data are developed and managed, providing insight and challenge that strengthens risk management and decision‑making. Your work will span dedicated Model, Data and AI Risk audits as well as broader business audits, offering unique exposure to emerging technologies, evolving regulatory expectations and enterprise-wide strategic initiatives.
What you offer
- Experience assessing or developing traditional quantitative models, machine learning models and AI solutions, with a strong understanding of model performance testing, monitoring and governance.
- Knowledge of modern AI platforms, architectures and controls, including associated technology, operational and risk considerations across the AI lifecycle.
- Ability to review and evaluate data quality, lineage and privacy controls, alongside an understanding of relevant regulatory frameworks such as GDPR, the EU AI Act and wider model and AI risk guidance.
- Strong communication and stakeholder management skills, with experience translating complex technical concepts into clear insights and building trusted relationships with senior stakeholders.
- A proactive and collaborative approach, with a passion for innovation, continuous improvement and creating positive outcomes through the responsible use of technology and data.
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 eligibility criteria, include:
- 1 wellbeing leave day per year and a minimum of 25 days of annual leave.
- 26 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers.
- Paid fertility leave for those undergoing or supporting fertility treatment.
- 2 days of paid volunteer leave and donation matching.
- Access to a wide range of salary sacrificing options.
- Benefits and initiatives to support your physical, mental and financial wellbeing including, comprehensive medical and life insurance cover.
- Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services.
- Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription.
- Access to company funded emergency and backup dependent care services.
- Recognition and service awards.
- Hybrid and flexible working arrangements, dependent on role.
- Reimbursement for work from home equipment.
The Internal Audit Division provides independent and objective risk-based assurance on the effectiveness of Macquarie’s risk management framework. Our global team conducts risk-based reviews focused on the effective operation of controls and governance processes, identifying insights through innovation and critical thinking. Our collaboration across all Groups is crucial to highlight potential risks and ensures compliance with regulatory standards in maintaining Macquarie’s integrity and success.
We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.
Senior Analyst - Model, Data and AI Risk Internal Audit employer: Macquarie Bank Limited
Macquarie Asset Management is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation within the Liquid Credit Investment Solutions and Strategy team. With a strong commitment to employee wellbeing, including generous leave policies, professional development opportunities, and a focus on diversity and inclusion, Macquarie empowers its employees to thrive both personally and professionally while contributing to meaningful financial solutions in a global context.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analyst - Model, Data and AI Risk Internal Audit
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Macquarie Bank Limited. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Senior Analyst - Model, Data and AI Risk Internal Audit
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Macquarie Bank Limited.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Macquarie Bank Limited's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Macquarie Bank Limited
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Macquarie Bank Limited.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Macquarie Bank Limited will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Macquarie Bank Limited employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.