At a Glance
- Tasks: Lead risk management for Data, Analytics, and AI, ensuring compliance and ethical practices.
- Company: Join QBE, a global insurer with a human touch and a commitment to innovation.
- Benefits: Enjoy flexible working, competitive salary, and a supportive work environment.
- Other info: Be part of a diverse team with excellent career growth opportunities across multiple locations.
- Why this job: Make a meaningful impact in a dynamic role that shapes the future of AI risk management.
- Qualifications: Experience in data, analytics, and AI risk management; strong stakeholder engagement skills.
The predicted salary is between 80000 - 100000 £ per year.
Location: London or Sydney
Type: Permanent, full time
Hybrid role, happy to talk flexible working.
Please note: This role can be based in Sydney or London. We are recruiting across multiple locations and will consider candidates based in any of these regions. Relocation is not offered as part of this process - if successful, you will be hired in your current location. Having the right to work in the relevant territory is a requirement for this role. QBE may consider sponsorship at its discretion. Kindly indicate your current location clearly in your application.
The opportunity
We have an exciting opportunity to join our IT Risk function as a Senior Manager - Data, Analytics and AI Risk. We are seeking a self-driven individual with strong experience in developing, implementing and assuring Data, Analytics and AI risk and control frameworks, risk management and reporting. Reporting to the Global Head of IT Risk Management, you will play an active role in enhancing our risk management capability. You will support our Global Head of Data, Analytics and AI in establishing, implementing, and overseeing frameworks governing how QBE uses data, analytics, and AI. Acting as part of the first line of defence you will help ensure QBE’s AI initiatives are safe, compliant, ethical, and aligned with business strategy, while managing risks like bias, data quality and regulatory compliance. The role also manages the functions risk reporting pipeline, producing updates for senior management and governing Boards.
This is a great opportunity to:
- Be part of a global organisation where you can make a meaningful impact by supporting growth in a risk‑conscious manner.
- Learn from and collaborate with a diverse, dynamic group of colleagues and businesses.
- This is a hands‑on role with a strong emphasis on stakeholder engagement, working closely with teams and senior functional and business leaders to identify and utilise a broad range of data sources.
About QBE
At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch. We’re an international insurer with more than 13,000 people working across 26 countries – which means we’re big enough for your ambitions, yet small enough for you to make a real impact. It’s an exciting time. We’re building momentum towards our vision to become the most consistent and innovative risk partner.
Your new role
- Provide Line 1 Risk view on Data, Analytics and AI Risks, including responding to evolving regulatory and industry expectations.
- Ensure effective Line 1 oversight and governance of the implementation and ongoing adherence to the Group policies and standards for Data, Analytics and AI.
- Provide leadership to the Group and Divisional teams to ensure policies and standards are translated into sound controls and assurance activities to enable effective risk management and timely escalation and resolution of material risks/issues.
- Work across the three lines of defence to develop and deliver the Data and AI Risk and Control framework and associated assessments.
- Establish and manage a clear cadence of risk governance forums to support identification, monitoring, remediation and reporting of risks and controls.
- Lead Risk & Control Self‑Assessment and assurance engagements with risk and control owners, ensuring work is well scoped, planned and delivered to a high standard, and produces reliable, high‑quality management information on risks, controls, issues and actions.
- Produce high‑quality, targeted risk reporting for senior management and governance forums, delivering clear narratives on key risks and concise updates on the status of risks, controls, issues and actions.
- Build strong partnerships with Line 2 Risk, Internal Audit, Privacy and Compliance to embed an integrated, end‑to‑end risk management approach.
This role is part of our Group division, with stakeholders based in different geographies and as a result requires flexibility to accommodate multiple time zones.
About You
- Practical experience in data, analytics and AI within a risk management, audit, compliance or control environment.
- Strong understanding of AI risk governance frameworks and evolving regulation, such as NIST AI RMF, the EU AI Act and GDPR.
- Proven ability to engage senior stakeholders and present complex risk insights as clear, compelling narratives.
- Comfortable operating in ambiguity, managing competing priorities and adapting to change.
- Background in Financial Services with experience navigating complex, federated global organisations.
- Experience in insurance, insurance broking or investment management would be advantageous.
- Working knowledge of recognised risk and control frameworks, such as NIST, ISO or COBIT, would be beneficial.
- Relevant qualifications in Risk Management, AI or Data Analytics, or strong reporting and analytics capability, would be well regarded.
Benefits
We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As this role is part of a global team we are open to candidates based in Australia, North America and the United Kingdom. For further information on the benefits available in each region, please visit our careers website.
QBE recognises the value of diverse perspectives and experience. We are committed to an inclusive workplace where everyone feels valued and respected for who they are. If we can provide support with accessibility requirements and adjustments, alternative work arrangements or you would like to connect with one of our employee networks at any stage of the recruitment process, please contact us at recruitment@qbe.com.
Application Close Date: 07/08/2026 11:59 PM
Equal Employment Opportunity
QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Senior Manager - Data, Analytics and AI Risk Management employer: QBE Insurance
QBE Insurance is an exceptional employer, offering a dynamic work environment in London with hybrid working options that promote a healthy work-life balance. Employees benefit from generous holiday allowances, comprehensive health coverage, and robust pension contributions, all while being part of a collaborative culture that values innovation and personal growth. With a commitment to sustainability and diversity, QBE empowers its team to make a meaningful impact both within the company and in the wider community.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager - Data, Analytics and AI Risk Management
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like QBE Insurance!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Manager - Data, Analytics and AI Risk Management at QBE Insurance.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like QBE Insurance.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Manager - Data, Analytics and AI Risk Management at QBE Insurance, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Manager - Data, Analytics and AI Risk Management
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at QBE Insurance, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at QBE Insurance. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at QBE Insurance
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at QBE Insurance!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.