At a Glance
- Tasks: Identify and manage data and AI risks while supporting governance frameworks.
- Company: Join QBE Europe, a leader in risk management and compliance.
- Benefits: Enjoy 30 days holiday, flexible working, and a generous pension plan.
- Other info: Collaborative culture with opportunities for continuous improvement and career growth.
- Why this job: Make a real impact on data governance and compliance in a dynamic environment.
- Qualifications: Experience in risk or compliance roles with strong analytical skills.
The predicted salary is between 30000 - 40000 £ per year.
QBE Europe is recruiting a Data & AI Risk Analyst to join the EO Data & AI function. The role plays a critical part in ensuring that data and AI risks are identified, assessed and managed effectively.
Responsibilities
- 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.
Qualifications
- 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.
- Right to work in the UK; sponsorship may be considered at a discretion.
Benefits
- 30 days holiday a year, with the option to buy up to 2 additional days.
- Flexible working opportunities, including part‑time, job share and compressed hours.
- Automatic enrolment into the QBE pension plan with 10% employer contributions based on 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: hackajob
QBE Europe is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. With a strong commitment to employee growth, we provide extensive training and development opportunities, alongside flexible working arrangements that promote a healthy work-life balance. Our inclusive culture, combined with competitive benefits such as generous holiday allowances and a robust pension plan, makes QBE a rewarding place to advance your career 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’s already in the data and AI space. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; show it! Create a portfolio or a blog where you can share your insights on data governance and risk management. This not only demonstrates your expertise but also makes you stand out to potential employers.
✨Ace the Interview
Prepare for those interviews by brushing up on common questions related to data and AI risks. We recommend practising your answers with a friend or in front of a mirror. Remember, confidence is key, so let your passion for the field shine through!
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website! It shows your enthusiasm and gives us a chance to see your application first-hand. Plus, we love seeing candidates who take that extra step!
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 risks. Share specific examples of how you've tackled similar challenges in the past. We love a good story that shows your proactive mindset!
Showcase Your Communication Skills:Strong communication skills are key for this role. In your application, demonstrate how you've effectively collaborated with teams or stakeholders. We want to see that you can convey complex ideas clearly and concisely!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and what we stand for!
How to prepare for a job interview at hackajob
✨Know Your Risk 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 strong analytical and problem-solving skills. 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
Since strong communication skills are key for this role, practice articulating your thoughts clearly and concisely. You might want to prepare a few scenarios where you’ve had to communicate complex information to non-technical stakeholders. This will highlight your ability to bridge the gap between technical and business teams.
✨Stay Updated on Regulations
Familiarise yourself with current regulatory requirements related to data and AI. Being able to discuss recent changes or trends in regulations will show that you’re proactive and committed to continuous improvement in governance and compliance processes.
