AI Governance & Assurance Advisor

AI Governance & Assurance Advisor

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Sterlings

At a Glance

  • Tasks: Advise on AI tools and compliance while collaborating with engineering teams.
  • Company: Sterlings, a forward-thinking firm in financial services.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and compliance.
  • Why this job: Transition from coding to impactful advisory work in AI governance.
  • Qualifications: Experience in software engineering and financial services required.

The predicted salary is between 60000 - 80000 € per year.

Sterlings is seeking an Engineer with a background in software engineering to join their advisory team focused on AI tools and compliance standards. The role requires recent experience in financial services and AI software, with responsibilities including engagement with engineering teams and governance implementation. Ideal for individuals looking to transition from heavy coding while working in a hybrid model with 3 days in the office.

AI Governance & Assurance Advisor employer: Sterlings

Sterlings is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about AI governance and compliance in the financial services sector. With a strong emphasis on employee growth, we offer tailored development opportunities and a hybrid working model that promotes work-life balance, making it an ideal environment for professionals looking to make a meaningful impact while advancing their careers.

Sterlings

Contact Detail:

Sterlings Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Governance & Assurance Advisor

Tip Number 1

Network like a pro! Reach out to folks in the financial services and AI sectors. Use LinkedIn to connect with current employees at Sterlings and ask for insights about their work culture and the role.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI tools and compliance standards. This will help you stand out during interviews and demonstrate your hands-on knowledge.

Tip Number 3

Practice makes perfect! Get ready for those interviews by rehearsing common questions related to AI governance and assurance. We can help you with mock interviews to boost your confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who are eager to make an impact in the AI space.

We think you need these skills to ace AI Governance & Assurance Advisor

Software Engineering
AI Tools
Compliance Standards
Financial Services Experience
Governance Implementation
Engagement with Engineering Teams
Hybrid Work Model Adaptability

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in software engineering and AI tools. We want to see how your background fits with the role, so don’t be shy about showcasing relevant projects or skills!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI Governance & Assurance Advisor role and how your experience in financial services makes you a perfect fit for our team.

Showcase Your Soft Skills:While technical skills are important, we also value communication and teamwork. Highlight any experiences where you've successfully collaborated with engineering teams or implemented governance standards.

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’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Sterlings

Know Your AI Stuff

Make sure you brush up on the latest trends and compliance standards in AI, especially as they relate to financial services. Be ready to discuss specific AI tools you've worked with and how they align with governance practices.

Showcase Your Engineering Background

Since the role requires a software engineering background, be prepared to talk about your coding experience. Highlight any projects where you’ve transitioned from heavy coding to advisory roles, demonstrating your ability to engage with engineering teams effectively.

Understand the Hybrid Model

Familiarise yourself with the hybrid working model and be ready to discuss how you can contribute effectively both in the office and remotely. Share examples of how you've successfully collaborated with teams in a similar setup.

Prepare Questions for Them

Interviews are a two-way street! Prepare insightful questions about their AI governance strategies and how they measure compliance success. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.