At a Glance
- Tasks: Lead AI risk assessments and ensure compliance with industry standards.
- Company: Join a forward-thinking company committed to responsible AI practices.
- Benefits: Enjoy competitive salary, bonuses, flexible work options, and comprehensive health benefits.
- Other info: Be part of an inclusive workplace that values diversity and professional growth.
- Why this job: Make a real impact in the evolving field of AI risk management.
- Qualifications: Knowledge of AI risk management and experience with relevant frameworks required.
The predicted salary is between 60000 - 80000 € per year.
Position Summary
Reporting to the Global Head of Technology and AI Risk, the Senior Analyst will lead the Global Risk Management (GRM) review and assessment of AI use cases, ensuring compliance with Capital Group’s policies, industry frameworks, and regulatory expectations.
Responsibilities
- Execute AI risk management processes: identify, assess, quantify risk as part of the AI intake process.
- Proactively identify and escalade risks/gaps throughout the AI lifecycle, communicate findings, and recommend enhancements.
- Monitor risk metrics, investigate triggers, and actively manage issues.
- Participate in incident and problem management related to AI.
- Prepare risk reporting, AI risk documentation, policies, standards, and Board/Committee materials for Global Risk Management.
- Review and challenge first‑line processes, procedures, and controls against AI‑related policies, industry frameworks, and regulatory requirements.
Qualifications
- Knowledge of AI‑specific risk management principles, responsible AI practices, and relevant theories.
- Experience leveraging model risk, data protection, technology risk, and related expertise to evaluate AI use cases.
- Demonstrable knowledge of risk management frameworks (e.g., NIST AI RMF, ISO 42001) and their practical application.
- Experience assessing risks and controls for AI and related technology/security.
- In‑depth understanding of AI model risk management in real‑world environments.
- Technical understanding of data protection, security risk management, AI lifecycle, failure modes, and risk characteristics.
- Fluency in responsible AI best practices and incident management.
Benefits
- Competitive salary, performance bonus, and annual profitability bonus.
- Retirement plan with 15% company contribution.
- Comprehensive health benefits from day one.
- Flexible work options, generous time‑away, and resources for professional development.
- Matching gifts for charitable contributions and annual grant opportunities.
- Access to on‑demand professional development resources.
Equal Opportunity Statement
We are an equal‑opportunity employer committed to a workplace free of discrimination. Our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth, related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, victim of domestic violence, assault or stalking, or any other characteristic protected by law.
AI Risk Senior Analyst employer: Capital Group
At Capital Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an AI Risk Senior Analyst, you will benefit from competitive compensation, comprehensive health benefits from day one, and a robust retirement plan with a generous company contribution. Our commitment to employee growth is evident through flexible work options, professional development resources, and a strong emphasis on responsible AI practices, making this an ideal environment for those seeking meaningful and rewarding careers in the rapidly evolving field of AI risk management.
StudySmarter Expert Advice🤫
We think this is how you could land AI Risk Senior Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to AI risk management. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience effectively.
✨Tip Number 3
Showcase your knowledge of AI-specific risk management principles during interviews. Bring up relevant frameworks like NIST AI RMF or ISO 42001 to demonstrate your expertise and how it aligns with the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Risk Senior Analyst
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI risk management principles and frameworks. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant expertise!
Showcase Your Knowledge:In your application, demonstrate your understanding of AI-specific risk management and responsible AI practices. We’re looking for candidates who can clearly articulate their knowledge of industry frameworks like NIST AI RMF and ISO 42001.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to communicate your experiences and achievements, especially those related to risk assessment and management in AI.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Capital Group
✨Know Your AI Risk Management Principles
Make sure you brush up on AI-specific risk management principles and responsible AI practices. Familiarise yourself with frameworks like NIST AI RMF and ISO 42001, as these will likely come up during your interview.
✨Prepare Real-World Examples
Think of specific instances where you've assessed risks and controls for AI or related technologies. Be ready to discuss how you identified, quantified, and managed those risks, as this will demonstrate your practical experience.
✨Understand the Regulatory Landscape
Get a good grasp of the regulatory expectations surrounding AI. Knowing how to align AI use cases with industry frameworks and compliance requirements will show that you're not just knowledgeable but also proactive in risk management.
✨Practice Incident Management Scenarios
Since incident and problem management is part of the role, prepare for questions around how you would handle specific AI-related incidents. Think through potential triggers and how you would escalate issues effectively.
