At a Glance
- Tasks: Analyse AI use cases and identify risks to ensure safe deployment.
- Company: Leading global banking organisation with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with excellent stakeholder engagement opportunities.
- Why this job: Shape the future of AI governance while ensuring compliance and oversight.
- Qualifications: Experience in risk and controls, strong analytical and documentation skills.
The predicted salary is between 60000 - 75000 £ per year.
We're partnering with a leading global banking organisation to hire multiple AI Risk & Controls Analysts to support a high-profile Agentic AI governance programme. This is a fantastic opportunity to play a key role in shaping how AI is safely deployed at scale - working at the intersection of risk, governance, and emerging AI technologies.
You'll be responsible for analysing AI use cases, identifying risks, and helping build a robust and auditable control environment that supports innovation while ensuring compliance and oversight.
Key Responsibilities- Analyse AI (including Agentic AI) use cases, workflows, data flows, and decision points
- Identify, assess, and document:
- Risks
- Control gaps
- Mitigation strategies
- Maintain and update risk and control mapping matrices aligned to enterprise frameworks
- Support remediation tracking and control improvement initiatives
- Produce clear, high-quality governance, audit, and approval documentation
- Contribute to management information (MI) and reporting dashboards
- Facilitate workshops to capture risks, decisions, and actions across stakeholders
- Ensure traceability, evidence, and lineage are maintained across AI processes
- Proven experience in:
- Risk & Controls
- Technology Risk or Governance
- Controls analysis within regulated environments
- Strong documentation, reporting, and analytical skills
- Experience supporting governance frameworks and remediation activities
- Ability to work across both technical and non-technical stakeholders
- Excellent stakeholder engagement and workshop facilitation skills
- Comfortable operating within structured enterprise governance environments
- Background in banking or financial services
- Exposure to:
- AI governance or Model Risk
- Technology controls frameworks
- Enterprise risk management frameworks
AI Risk & Controls Lead — Governance & Compliance employer: TXP
Join a leading global banking organisation that prioritises innovation and compliance in the rapidly evolving field of AI. With a hybrid work model based in Canary Wharf, employees benefit from a collaborative culture that fosters professional growth through hands-on experience in risk governance and controls. This role offers a unique opportunity to contribute to a high-profile AI governance programme while enjoying a supportive environment that values diverse perspectives and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI Risk & Controls Lead — Governance & Compliance
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and AI sectors on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of AI governance and risk controls. Be ready to discuss specific use cases and how you've tackled similar challenges in the past. Show them you’re not just a fit on paper, but in practice too!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your skills. Plus, it helps us keep track of your application and gives you a better chance of landing that dream job with us.
We think you need these skills to ace AI Risk & Controls Lead — Governance & Compliance
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in risk and controls, especially in AI governance. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI risk and controls. Share specific examples of your past work that relate to the role, and let us know why you want to join StudySmarter.
Showcase Your Analytical Skills:Since this role involves analysing AI use cases and identifying risks, make sure to highlight your analytical skills in your application. We love seeing how you've tackled similar challenges in the past!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at TXP
✨Know Your AI Risk Fundamentals
Make sure you brush up on the basics of AI risk and controls. Understand key concepts like risk assessment, control gaps, and mitigation strategies. This will help you speak confidently about how you can contribute to the governance programme.
✨Prepare Real-World Examples
Think of specific instances where you've identified risks or improved controls in previous roles. Be ready to discuss these examples in detail, as they’ll demonstrate your hands-on experience and analytical skills to the interviewers.
✨Familiarise Yourself with Governance Frameworks
Since this role involves working within structured enterprise governance environments, it’s crucial to understand relevant frameworks. Research the frameworks used in banking and financial services, and be prepared to discuss how you’ve applied them in your past work.
✨Engage Stakeholders Effectively
Showcase your stakeholder engagement skills by preparing to discuss how you’ve facilitated workshops or collaborated with both technical and non-technical teams. Highlight your ability to communicate complex ideas clearly, as this is key for the role.
