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- Tasks: Drive innovation in responsible AI and ensure systems are trustworthy and compliant.
- Company: Global financial services group focused on cutting-edge technology.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the world of AI while collaborating with diverse teams.
- Qualifications: Strong skills in software engineering, machine learning, and stakeholder management.
- Other info: Join a dynamic team and help shape the future of AI in finance.
The predicted salary is between 36000 - 60000 £ per year.
A global financial services group is seeking an AI Assurance Technical Expert to drive innovation in responsible AI. The ideal candidate will ensure AI systems are trustworthy and compliant, leading technical assurance engagements.
Responsibilities include:
- Reviewing code
- Advising delivery teams
- Collaborating across departments to embed best practices
Strong skills in software engineering, machine learning, and cloud-based platforms are required, alongside excellent stakeholder management abilities. This pivotal role offers hybrid working with three days per week at the London office.
AI Assurance Engineer: Trust, Compliance & Scale 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 & Scale
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI assurance. A casual chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in software engineering and machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you've collaborated with different teams to ensure compliance and trust in AI systems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI Assurance Engineer: Trust, Compliance & Scale
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, machine learning, and cloud-based platforms. We want to see how your skills align with the role of AI Assurance Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about responsible AI and how you can contribute to our mission at StudySmarter. Keep it engaging and personal – we love to see your personality come through.
Showcase Stakeholder Management Skills: Since this role involves collaborating across departments, make sure to highlight any experience you have in managing stakeholders. We’re looking for examples that demonstrate your ability to communicate effectively and build relationships.
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. Plus, it shows you’re keen on joining our team!
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 terms of trust and compliance. Be ready to discuss specific examples of how you've ensured AI systems are trustworthy in your previous roles.
✨Showcase Your Technical Skills
Prepare to demonstrate your software engineering and machine learning skills. Bring along examples of code you've reviewed or projects you've worked on that highlight your expertise in cloud-based platforms.
✨Stakeholder Management is Key
Think of instances where you've successfully collaborated with different teams. Be prepared to share how you’ve managed stakeholder expectations and communicated complex technical concepts to non-technical audiences.
✨Embrace the Hybrid Work Model
Since this role offers hybrid working, be ready to discuss how you manage your time and productivity in both remote and office settings. Share any strategies you use to stay connected with your team while working from home.