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- Tasks: Validate AI systems and ensure compliance while leading technical assurance engagements.
- Company: A leading global financial services group with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and a supportive team culture.
- Why this job: Make a real impact in AI compliance and work with cutting-edge technology.
- Qualifications: Expertise in software engineering, AI system design, and analytical skills.
- Other info: Join a diverse team that values collaboration and fosters career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading global financial services group is seeking an AI Assurance Technical Expert to validate AI systems and ensure compliance. In this hybrid role, you'll lead technical assurance engagements, review AI code and architecture, and advise on best practices.
Ideal candidates have expertise in software engineering and AI system design, along with analytical skills and experience in regulated industries. Join a supportive team that values diversity and fosters a culture of collaboration and innovation.
AI Assurance Engineer - Trust, Compliance & Observability employer: Macquarie Bank Limited
Contact Detail:
Macquarie Bank Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Assurance Engineer - Trust, Compliance & Observability
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI assurance or compliance. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your work in software engineering and AI system design. When you get the chance to chat with potential employers, having tangible examples of your expertise can really set you apart.
✨Tip Number 3
Stay updated on industry trends! Follow relevant blogs, podcasts, and news in AI and compliance. This not only helps you in interviews but also shows your passion for the field when you engage with hiring managers.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance to stand out in our system and get noticed by the right people in our supportive team.
We think you need these skills to ace AI Assurance Engineer - Trust, Compliance & Observability
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and AI system design. We want to see how your skills align 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 assurance and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Analytical Skills: Since this role involves validating AI systems, make sure to highlight any analytical skills or experiences you have. Whether it’s through past projects or specific tools you’ve used, we want to know how you approach problem-solving.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Macquarie Bank Limited
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI systems, especially in the context of compliance and assurance. Be ready to discuss specific projects you've worked on, focusing on how you validated AI systems and ensured they met regulatory standards.
✨Showcase Your Software Engineering Skills
Prepare to talk about your experience with software engineering principles and how they apply to AI system design. Bring examples of code reviews or architecture assessments you've conducted, highlighting your analytical skills and attention to detail.
✨Understand the Regulatory Landscape
Familiarise yourself with the regulations that impact AI in financial services. Be prepared to discuss how you’ve navigated compliance challenges in previous roles and how you can help the company maintain its high standards.
✨Emphasise Collaboration and Innovation
Since the role values a culture of collaboration, think of examples where you've worked effectively in a team. Highlight how you contributed to innovative solutions in past projects, showing that you’re not just a technical expert but also a team player.
