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- Tasks: Plan and execute assurance engagements for AI systems, ensuring compliance with regulations.
- Company: Global financial services group based in Greater London.
- Benefits: Comprehensive benefits package and hybrid work environment.
- Why this job: Join a team enhancing AI governance and make a difference in responsible AI practices.
- Qualifications: Strong understanding of AI technologies and risk management required.
- Other info: Innovative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A global financial services group in Greater London is seeking an AI Assurance and Risk Specialist to enhance AI governance. The candidate will plan and execute assurance engagements for AI systems, ensuring compliance with regulatory frameworks.
Key qualifications include a strong understanding of AI technologies and risk management. The role offers a hybrid work environment, supporting both innovation and responsible AI practices, along with a comprehensive benefits package.
AI Governance & Risk Assurance Specialist employer: Macquarie
Contact Detail:
Macquarie Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Governance & Risk Assurance Specialist
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI governance and risk assurance space. Use platforms like LinkedIn to connect with industry experts and join relevant groups. This can open doors to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI technologies and risk management. We recommend creating a list of common interview questions related to AI governance and practising your responses. Confidence is key, so let’s nail those answers!
✨Tip Number 3
Showcase your skills through real-world examples. When discussing your experience, highlight specific projects where you’ve successfully managed AI risks or ensured compliance. This will demonstrate your expertise and make you stand out from the crowd.
✨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. Let’s get you that AI Assurance and Risk Specialist role!
We think you need these skills to ace AI Governance & Risk Assurance Specialist
Some tips for your application 🫡
Show Your Understanding of AI: Make sure to highlight your knowledge of AI technologies in your application. We want to see how you can apply that understanding to enhance AI governance and risk management.
Tailor Your Application: Don’t just send a generic CV and cover letter. We’re looking for candidates who can connect their experience directly to the role. Use the job description as a guide to showcase your relevant skills.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the heart of your qualifications.
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!
How to prepare for a job interview at Macquarie
✨Know Your AI Inside Out
Make sure you have a solid grasp of AI technologies and their applications. Brush up on the latest trends in AI governance and risk management, as this will show your potential employer that you're not just familiar with the basics but are also engaged with current developments.
✨Understand Regulatory Frameworks
Familiarise yourself with the key regulatory frameworks relevant to AI in financial services. Be prepared to discuss how these regulations impact AI governance and risk assurance, as this knowledge will demonstrate your readiness for the role.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills in real-world situations. Think about past experiences where you've had to manage risks or ensure compliance, and be ready to share specific examples that highlight your expertise.
✨Showcase Your Adaptability
Since the role offers a hybrid work environment, emphasise your ability to adapt to different working conditions. Share examples of how you've successfully collaborated with teams remotely and in-person, showcasing your flexibility and commitment to innovation in AI practices.
