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- Tasks: Drive AI governance and validate systems for compliance with policies and regulations.
- Company: Global financial services provider focused on responsible AI use.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI governance and make a real impact in the financial sector.
- Qualifications: Strong understanding of AI technologies, risk frameworks, and analytical skills.
- Other info: Collaborative environment with a focus on innovation and responsible AI practices.
The predicted salary is between 36000 - 60000 £ per year.
A global financial services provider is seeking an AI Assurance and Risk Specialist to drive AI governance and assurance efforts. You will validate AI systems and ensure compliance with internal policies and regulatory standards, while collaborating with various stakeholders.
This position requires a strong grasp of AI technologies, risk frameworks, and excellent analytical skills. You will also prepare risk updates for leadership, contributing to a culture of responsible AI use.
Hybrid work available, with three days required on-site.
AI Governance & Risk Specialist employer: Macquarie Group
Contact Detail:
Macquarie Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Governance & Risk Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the AI governance space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI technologies and risk frameworks. We recommend practising common interview questions and scenarios related to compliance and assurance to show you’re the right fit.
✨Tip Number 3
Showcase your analytical skills! Bring examples of past projects where you’ve validated AI systems or contributed to risk assessments. We want to see how you think and solve problems, so don’t hold back!
✨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 Governance & Risk Specialist
Some tips for your application 🫡
Show Your Understanding of AI Governance: Make sure to highlight your knowledge of AI technologies and risk frameworks in your application. We want to see how you can contribute to our efforts in driving AI governance and assurance.
Tailor Your Application: Don’t just send a generic CV and cover letter! We love it when applicants customise their materials to reflect the specific requirements of the AI Governance & Risk Specialist role. It shows us you’re genuinely interested.
Highlight Your Analytical Skills: Since this role requires excellent analytical skills, be sure to provide examples of how you've used these skills in past experiences. We want to know how you approach problem-solving and decision-making.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Macquarie Group
✨Know Your AI Inside Out
Make sure you have a solid understanding of AI technologies and their applications. Brush up on the latest trends and frameworks in AI governance, as this will show your passion and expertise during the interview.
✨Understand Risk Frameworks
Familiarise yourself with various risk management frameworks relevant to AI. Be prepared to discuss how these frameworks can be applied in real-world scenarios, as this will demonstrate your analytical skills and strategic thinking.
✨Prepare for Stakeholder Collaboration
Think about examples from your past experiences where you've successfully collaborated with different stakeholders. Highlight your communication skills and how you can bridge the gap between technical teams and leadership.
✨Showcase Your Compliance Knowledge
Research the internal policies and regulatory standards that are relevant to the role. Be ready to discuss how you would ensure compliance and contribute to a culture of responsible AI use within the organisation.
