At a Glance
- Tasks: Define and implement AI governance frameworks while managing model risk in a remote setting.
- Company: Join a leading financial services firm focused on responsible AI practices.
- Benefits: Remote work, competitive pay, and the chance to make a real impact.
- Other info: Opportunity for professional growth in a dynamic, regulated environment.
- Why this job: Be at the forefront of AI governance and compliance in a high-profile role.
- Qualifications: Experience in AI risk management and strong communication skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an experienced Security/AI Risk Specialist to support a regulated financial services environment, focusing on AI governance, model risk, and secure AI deployment. This is an excellent opportunity for a Security/AI Risk Specialist to work remotely on a high-profile AI risk and compliance programme.
Your responsibilities as the Security/AI Risk Specialist:
- Define, implement and maintain AI governance frameworks aligned to regulatory and internal risk standards.
- Assess and manage AI and model risk, including bias, fairness, explainability, and model transparency.
- Ensure data privacy, security and regulatory compliance across AI use cases within a financial services environment.
- Partner with security, risk, legal and technology teams to embed responsible AI practices.
- Design and review secure LLM deployments on AWS, ensuring appropriate controls, access management and monitoring.
- Support risk assessments, audits, and regulatory enquiries related to AI and advanced analytics.
- Produce clear documentation, risk assessments and governance artefacts for senior stakeholders.
As a successful Security/AI Risk Specialist, you will have:
- Proven experience working as a Security/AI Risk Specialist, AI risk professional or similar role.
- Strong knowledge of AI governance frameworks and responsible AI principles.
- Hands-on experience managing model risk, including bias detection, explainability and validation.
- Solid understanding of data privacy, security and regulatory compliance within financial services.
- Experience supporting or reviewing secure LLM implementations on AWS.
- Ability to translate complex AI risks into clear, actionable guidance for non-technical stakeholders.
- Excellent communication skills and experience operating in regulated, enterprise environments.
If you are a Security/AI Risk Specialist looking for a remote, high-impact contract within financial services, we'd love to hear from you. Apply today — professional references required.
AI Risk and Governance Specialist in Nottingham employer: SCC
At SCC, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a remote workplace, we provide our employees with the flexibility to balance their professional and personal lives while engaging in meaningful projects within the regulated financial services sector. With a strong focus on employee growth, we offer opportunities for continuous learning and development, ensuring that our team members are well-equipped to navigate the evolving landscape of AI governance and risk management.
StudySmarter Expert Advice🤫
We think this is how you could land AI Risk and Governance Specialist in Nottingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services and AI sectors. Let them know you're on the lookout for opportunities, and don't hesitate to ask for introductions or advice. You never know who might have the inside scoop on a role that’s perfect for you!
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your experience in AI governance and risk management. Join relevant groups and engage with posts to get noticed by potential employers. We want you to shine!
✨Tip Number 3
Prepare for those interviews! Research common questions related to AI risk and governance, and practice your responses. Be ready to discuss your hands-on experience with model risk and secure LLM deployments. Confidence is key, so let your expertise speak for itself!
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your skills. Plus, it shows you’re serious about joining our team. Don’t miss out on this chance to land that dream job!
We think you need these skills to ace AI Risk and Governance Specialist in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI governance and model risk management. We want to see how your skills align with the responsibilities listed in the job description, so don’t hold back on 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 AI risk and governance. We love seeing candidates who can translate complex concepts into clear language, so keep it engaging and straightforward.
Showcase Your Communication Skills:Since this role involves working with various teams, highlight your communication skills in your application. We’re looking for someone who can make complex AI risks understandable for non-technical stakeholders, so give us examples of how you’ve done this before.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and securely. 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 SCC
✨Know Your AI Governance Frameworks
Make sure you brush up on the latest AI governance frameworks and responsible AI principles. Be ready to discuss how these frameworks align with regulatory standards, as this will show your understanding of the role's requirements.
✨Prepare for Technical Questions
Expect questions about model risk management, bias detection, and explainability. Have specific examples from your past experience ready to demonstrate your hands-on knowledge and how you've tackled these challenges in a financial services context.
✨Communicate Clearly
Since you'll need to translate complex AI risks into actionable guidance for non-technical stakeholders, practice explaining technical concepts in simple terms. This will highlight your communication skills and ability to work with diverse teams.
✨Showcase Your Documentation Skills
Be prepared to discuss how you've produced clear documentation and risk assessments in previous roles. Bring examples if possible, as this will illustrate your attention to detail and ability to create governance artefacts for senior stakeholders.
