At a Glance
- Tasks: Identify and manage data and AI risks while supporting governance frameworks.
- Company: Join QBE Insurance, a leader in data and AI governance.
- Benefits: Enjoy 30 days holiday, flexible working, and a generous pension plan.
- Other info: Flexible working options available to support work-life balance.
- 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.
hackajob is collaborating with QBE Insurance to connect them with exceptional professionals for this role.
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 - balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours.
- Pension – you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary.
Application Close Date: 05/06/2026 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.
Data & AI Risk Analyst employer: Limelight Health
QBE Insurance is an excellent employer, offering a dynamic work environment in London where flexibility and work-life balance are prioritised. With generous benefits such as 30 days of holiday and a robust pension plan, employees are supported in their professional growth and well-being. The company fosters a culture of collaboration and continuous improvement, making it an ideal place for those looking to make a meaningful impact in the 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 folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at QBE. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your analytical and problem-solving skills. Share specific examples of how you've tackled data governance or risk management challenges in the past.
✨Tailor Your Approach
Before any interview, do your homework on QBE and their approach to data and AI risk. Tailor your responses to show how your experience aligns with their needs. It’s all about making that connection!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at QBE.
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, governance, or compliance, and showcase your analytical skills. We want to see how your background aligns with what 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. Share specific examples of how you've tackled similar challenges in the past. We love a good story!
Showcase Your Communication Skills:Strong communication is key for this role. In your application, demonstrate how you've effectively collaborated with teams or communicated complex ideas. We want to know you can bridge the gap between technical and non-technical folks!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and keep track of all the amazing candidates. Plus, it shows you're serious about joining our team at QBE!
How to prepare for a job interview at Limelight Health
✨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 how you approach challenges and find solutions.
✨Communicate Clearly and Collaboratively
Since this role involves working with various stakeholders, practice articulating your thoughts clearly. Use examples from past experiences where you collaborated with both business and technical teams. This will highlight your strong communication skills and ability to work well in a team.
✨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 crucial for this role.
