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: Enjoy a flexible contract, remote work, and the chance to make a real impact.
- Other info: This role offers excellent opportunities for professional growth in a dynamic environment.
- Why this job: Be at the forefront of AI governance and compliance in a high-profile programme.
- 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 employer: SCC
SCC is an exceptional employer that prioritises employee growth and development within a dynamic remote work environment. As a Security/AI Risk Specialist, you will benefit from a collaborative culture that values innovation and responsible AI practices, while also enjoying the flexibility of a remote role in a high-profile financial services programme. With a strong focus on compliance and security, SCC offers unique opportunities to engage with cutting-edge technology and make a meaningful impact in the field of AI governance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Risk and Governance Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI risk and governance. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your experience with AI governance frameworks and model risk management. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI risk and compliance. We recommend practising how to explain complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team in this exciting field.
We think you need these skills to ace AI Risk and Governance Specialist
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 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 AI risk and governance. We love seeing candidates who can connect their personal experiences to our mission, so let your personality come through.
Showcase Your Communication Skills:Since you'll be translating complex AI risks for non-technical stakeholders, make sure your application reflects your ability to communicate clearly. Use straightforward language and avoid jargon where possible to demonstrate this skill.
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, you’ll find all the details you need about the position 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 you've implemented these in past roles, as this will show your understanding of regulatory compliance and model risk management.
✨Prepare for Technical Questions
Expect questions about bias detection, explainability, and validation of AI models. Prepare specific examples from your experience where you've tackled these issues, as it will demonstrate your hands-on expertise in managing model risk.
✨Showcase Your Communication Skills
Since you'll need to translate complex AI risks into clear guidance for non-technical stakeholders, practice explaining technical concepts in simple terms. This will highlight your ability to collaborate with diverse teams, which is crucial for this role.
✨Familiarise Yourself with AWS Deployments
If you've worked with secure LLM implementations on AWS, be ready to discuss your approach to access management and monitoring. If not, do some research on best practices, as this knowledge could set you apart from other candidates.
