At a Glance
- Tasks: Analyse AI use cases and identify risks to ensure safe deployment of AI technologies.
- Company: Join a 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 career advancement potential.
- 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 Analyst – Agentic AI Governance 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, you'll benefit from a collaborative work culture that fosters professional growth and offers opportunities to engage with cutting-edge technologies. This role not only allows you to shape AI governance but also provides a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land AI Risk & Controls Analyst – Agentic AI Governance
✨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 get you in front of the right people faster.
We think you need these skills to ace AI Risk & Controls Analyst – Agentic AI Governance
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 clear examples of 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 any important updates from us!
How to prepare for a job interview at TXP
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI technologies, especially Agentic AI. Understand the key use cases and workflows, as well as the associated risks. This will help you demonstrate your expertise and show that you're ready to tackle the challenges in AI governance.
✨Master Risk and Controls Concepts
Familiarise yourself with risk assessment methodologies and control frameworks relevant to the banking sector. Be prepared to discuss how you would identify and document risks and control gaps. This shows that you can contribute effectively to building a robust control environment.
✨Prepare for Stakeholder Engagement
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think about examples from your past experiences where you've successfully facilitated workshops or engaged with diverse teams.
✨Showcase Your Documentation Skills
Be ready to talk about your experience in producing high-quality governance and audit documentation. Bring examples of your work if possible, and highlight your attention to detail. This will reassure them that you can maintain traceability and evidence across AI processes.
