At a Glance
- Tasks: Conduct risk assessments and ensure compliance with AI regulations.
- Company: Join a leading global mining company focused on innovation.
- Benefits: Hybrid work model, competitive pay, and professional development opportunities.
- Other info: Collaborate with diverse teams to enhance governance frameworks.
- Why this job: Shape the future of AI governance while working in a dynamic environment.
- Qualifications: 3+ years in risk governance and strong understanding of AI concepts.
The predicted salary is between 50000 - 60000 £ per year.
Anglo American in Greater London is seeking an AI Risk Analyst to perform risk assessments and ensure compliance with regulatory requirements. The ideal candidate will bring over 3 years of experience in risk governance functions and should have strong knowledge of AI concepts.
This is a hybrid position with a contract duration of initially 6 months, requiring 1-2 days per week in the office. The role involves collaboration with various stakeholders to improve governance frameworks and communication of technical issues.
AI Risk & Governance Analyst - Hybrid (London) employer: Anglo American
Anglo American is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the dynamic field of AI risk governance. With a strong commitment to employee development, you will have access to numerous growth opportunities while working in the vibrant city of London, where the blend of professional challenges and cultural experiences makes for a truly rewarding career. The hybrid work model also offers flexibility, allowing you to balance your professional and personal life effectively.
StudySmarter Expert Advice🤫
We think this is how you could land AI Risk & Governance Analyst - Hybrid (London)
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and risk governance space on LinkedIn. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Prepare for those tricky questions! Brush up on your knowledge of AI concepts and regulatory requirements. We recommend practising with a friend or even in front of the mirror to boost your confidence.
✨Tip Number 3
Showcase your collaboration skills! During interviews, share examples of how you've worked with stakeholders to improve governance frameworks. This will highlight your ability to communicate technical issues effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Risk & Governance Analyst - Hybrid (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in risk governance and AI concepts. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI risk and governance. We love seeing candidates who can communicate their enthusiasm and fit for the role.
Showcase Your Collaboration Skills:Since this role involves working with various stakeholders, make sure to mention any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you can contribute to our governance frameworks.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Anglo American
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI concepts and risk governance. Be prepared to discuss how these concepts apply to real-world scenarios, especially in relation to compliance and regulatory requirements.
✨Showcase Your Experience
With over 3 years of experience being a key requirement, be ready to share specific examples from your past roles. Highlight any projects where you successfully assessed risks or improved governance frameworks, as this will demonstrate your capability.
✨Prepare for Stakeholder Collaboration
Since the role involves working with various stakeholders, think about how you can effectively communicate technical issues. Prepare examples of how you've collaborated with different teams in the past and how you navigated any challenges.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about their current governance frameworks or how they foresee the evolution of AI risk management in the future.
