At a Glance
- Tasks: Identify and manage data and AI risks while supporting governance frameworks.
- Company: Join QBE Europe, a leader in data and AI governance.
- Benefits: Enjoy 30 days holiday, flexible working, and a generous pension plan.
- Other info: Collaborative environment with opportunities for continuous improvement and career growth.
- Why this job: Make a real impact in the evolving field of data and AI risk management.
- Qualifications: Experience in risk or compliance roles with strong analytical skills.
The predicted salary is between 50000 - 60000 £ per year.
QBE Europe is recruiting a Data & AI Risk Analyst to join the EO Data & AI function. As the organisation continues to strengthen its data & AI governance, regulatory alignment and risk management capabilities, this role plays a critical part in ensuring that data and AI risks are identified, assessed and managed effectively. The role supports the development and execution of governance, risk and control frameworks, ensuring that data and AI services are delivered responsibly, compliantly and with appropriate oversight. Having the right to work in the UK is a requirement for this role. QBE may consider sponsorship at its discretion.
Your New Role
- Support identification, assessment and tracking of data and AI risks across EO.
- Contribute to the development and maintenance of data governance and risk frameworks.
- Support the design and monitoring of data controls and control effectiveness.
- Assist in delivering risk and control assessments and regulatory activities.
- Work with stakeholders to remediate data quality and control issues.
- Support reporting of risk, governance and control metrics.
- Assist with audit and regulatory responses, including evidence gathering.
- Maintain awareness of regulatory requirements relating to data and AI.
- Support the development of training, education and communications materials to improve understanding of data and AI governance requirements across EO.
- Support continuous improvement of governance and compliance processes.
- Support the implementation of the AI Policy and Standard, including development and maintenance of the AI Register.
About You
- Experience in risk, governance or compliance roles within data or technology environments.
- Understanding of risk management and control frameworks.
- Strong analytical and problem‑solving skills.
- Ability to work collaboratively across business and technical teams.
- Strong communication skills.
- Structured approach to documentation and reporting.
- Proactive mindset with focus on continuous improvement.
Benefits
- 30 days holiday a year with the option to buy up to 2 additional days.
- Flexible working – opportunities are open to all, including part‑time, job share and compressed hours.
- Pension – automatically enrolled into the QBE pension plan, entitling you to receive employer contributions of 10% of your basic salary.
Equal Employment Opportunity: QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Data & AI Risk Analyst employer: QBE Insurance Group
QBE Europe is an exceptional employer, offering a dynamic work environment in London where flexibility and collaboration are at the forefront of our culture. With a strong commitment to employee growth, we provide comprehensive benefits including 30 days of holiday, a generous pension plan, and opportunities for continuous improvement in governance and compliance processes. Join us to be part of a forward-thinking team that values your contributions and supports your professional development in the evolving field of data and AI risk management.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Risk Analyst
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data and AI. Building relationships can open doors that you didn’t even know existed.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your work or side projects related to data governance and risk management. This will give you an edge and demonstrate your hands-on experience.
✨Ace the Interview
Prepare for common interview questions but also think about how you can relate your experiences to the role. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Apply Through Our Website
We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest opportunities there!
We think you need these skills to ace Data & AI Risk Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data & AI Risk Analyst role. Highlight your experience in risk management and governance, and don’t forget to showcase those analytical skills we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and AI governance, and how your background makes you a perfect fit for our team at QBE.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. We love a proactive mindset, so let us know how you’ve contributed to continuous improvement in your past experiences!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at QBE Insurance Group
✨Know Your Risk Management Frameworks
Make sure you brush up on your understanding of risk management and control frameworks. Be ready to discuss how you've applied these in previous roles, especially in data or technology environments. This will show that you’re not just familiar with the concepts but can also implement them effectively.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical and problem-solving skills during the interview. Think of specific examples where you've identified and managed risks, and be ready to explain your thought process. This will help the interviewers see your structured approach to tackling challenges.
✨Communicate Clearly and Collaboratively
Since this role involves working with various stakeholders, practice articulating your ideas clearly. Use examples from past experiences where you collaborated across teams to resolve data quality issues or improve governance processes. Strong communication is key!
✨Stay Updated on Regulatory Requirements
Familiarise yourself with current regulatory requirements related to data and AI. Being able to discuss recent changes or trends in the industry will demonstrate your proactive mindset and commitment to continuous improvement, which is exactly what they’re looking for.
