At a Glance
- Tasks: Conduct AI risk assessments and collaborate with teams to mitigate model-related risks.
- Company: Join Anglo American, a global leader in mining and resource production.
- Benefits: Hybrid work setup, competitive pay, and opportunities for professional growth.
- Other info: Inclusive recruitment process with support available for all candidates.
- Why this job: Make an impact in AI governance while working with cutting-edge technology.
- Qualifications: 3+ years in risk roles, strong communication skills, and knowledge of AI concepts.
The predicted salary is between 50000 - 65000 £ per year.
Location: London.
Role Type: Contract - initially 6 months.
Work Setup: Hybrid (1-2 days per week in the London office).
Who We Are
Anglo American is a global mining company that produces key resources like copper, iron ore, diamonds, and nickel, supporting infrastructure and the energy transition.
What you'll do
- Conduct AI and model risk assessments, ensuring findings are clearly documented and communicated.
- Support model governance activities, including approval processes and periodic reviews.
- Maintain and update risk registers, tracking mitigation actions through to completion.
- Monitor compliance with relevant internal policies and external regulatory requirements.
- Collaborate with data scientists, engineers and business stakeholders to identify, assess and mitigate model-related risks.
What you bring
- 3+ years' hands‑on experience in risk or governance roles, including risk assessments, risk registers, controls monitoring and remediation tracking, with ISO 27001 experience highly relevant.
- Strong GRC and process capability, with a track record of developing or improving governance frameworks, policies and structured control environments.
- Experience working in regulated environments (ideally financial services or similar), with the ability to operate within formal compliance and oversight structures.
- Working knowledge of AI/ML concepts, with the ability to identify and assess risks such as bias, data quality issues and control weaknesses.
- Exposure to AI governance standards or frameworks (e.g. ISO 42001) considered advantageous.
- Strong communication skills with the ability to translate technical risk issues into clear, practical guidance for business stakeholders.
What's Next?
If you are ready to take the next step, apply now. Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at adjustments@robertwalters.com to discuss how we can support you.
AI Risk Analyst employer: Anglo American
Anglo American is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a commitment to employee growth, we provide opportunities for professional development and exposure to cutting-edge AI governance frameworks, all while supporting a hybrid work setup that promotes work-life balance. Join us to be part of a global leader in mining, where your contributions directly support critical infrastructure and the energy transition.
StudySmarter Expert Advice🤫
We think this is how you could land AI Risk Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Anglo American or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI/ML concepts and risk management frameworks. Be ready to discuss how you've tackled risks in past roles – real examples will make you stand out!
✨Tip Number 3
Show off your communication skills! Practice explaining complex risk issues in simple terms. This is key when collaborating with data scientists and business stakeholders, so make sure you're clear and concise.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about the role and keen to join the team at Anglo American.
We think you need these skills to ace AI Risk Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Risk Analyst role. Highlight your experience in risk assessments and governance, especially any ISO 27001 knowledge. We want to see how your skills match 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 AI risk management and how your background makes you a great fit for our team. Keep it concise but impactful!
Showcase Relevant Experience:When filling out your application, be sure to showcase your hands-on experience in risk or governance roles. Mention specific projects or achievements that demonstrate your ability to manage model-related risks effectively.
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 to do!
How to prepare for a job interview at Anglo American
✨Know Your AI Risk Fundamentals
Make sure you brush up on your knowledge of AI and model risk assessments. Understand key concepts like bias, data quality issues, and control weaknesses. Being able to discuss these topics confidently will show that you're well-prepared and knowledgeable.
✨Familiarise Yourself with Governance Frameworks
Since the role involves governance activities, it’s crucial to be familiar with frameworks like ISO 27001 and ISO 42001. Prepare examples of how you've developed or improved governance frameworks in your previous roles to demonstrate your experience.
✨Communicate Clearly and Effectively
Strong communication skills are a must for this position. Practice translating complex technical risk issues into simple, actionable insights. This will help you connect with business stakeholders during the interview and showcase your ability to bridge the gap between technical and non-technical teams.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in risk management. Think of past experiences where you identified and mitigated risks, and be ready to discuss the steps you took and the outcomes. This will highlight your practical experience and decision-making abilities.
