At a Glance
- Tasks: Lead the security strategy for generative AI and tackle emerging threats.
- Company: Pioneering financial institution at the forefront of AI innovation.
- Benefits: Competitive daily rate, flexible work environment, and opportunity for contract extension.
- Other info: Dynamic role with potential to build a world-class adversarial AI function.
- Why this job: Shape the future of secure AI and make a real impact in cybersecurity.
- Qualifications: Proven experience in financial services and deep knowledge of AI risk management.
A pioneering financial institution is seeking an experienced Threat & Adversarial AI Expert to join their cybersecurity team. You will act as the primary architect of safety for the firm's generative AI ecosystem, ensuring agentic capabilities remain resilient against an evolving global threat landscape.
As a Threat AI Expert, you will lead the organisation's Generative AI security strategy. Key responsibilities include:
- Advanced Threat Modelling: Leading structured sessions using STRIDE and OWASP LLM/Agentic frameworks to map out attack trees for complex, non-deterministic systems.
- Adversarial Engineering: Translating emerging threats such as Prompt Injection, Sleeper Agents, and Denial-of-Wallet into rigorous test cases.
- AWS Bedrock Mastery: Overseeing the secure model lifecycle, including the configuration of Guardrails, Knowledge Bases (RAG), and Agentic tool-use.
- Regulatory Stewardship: Mapping the firm's safeguard catalogue against the specific demands of DORA, FCA Operational Resilience, and the EU AI Act.
- Collaborative Resilience: Running scenario-based workshops to validate control effectiveness, ensuring innovation never outpaces the firm's risk appetite.
Essential Skills:
- Proven track record in UK Financial Services with deep knowledge of FCA compliance and DORA.
- Solid grasp of Foundation Models (FMs), RAG, and the risks of non-deterministic agentic behaviour.
- Mastery of OWASP LLM Top 10 and the NIST AI Risk Management Framework.
- Hands-on experience securing AWS Bedrock and governing the full AI model lifecycle.
- Ability to translate 'AI Red Teaming' outcomes into high-impact insights for both engineers and executives.
You will have the opportunity to define the industry standard for Secure AI, sitting at the forefront of the bank's transition to agentic workflows. You will be provided with the scale and mandate to build a world-class adversarial AI function from the ground up.
Threat & Adversarial AI Expert in City of London employer: Randstad Digital
Contact Detail:
Randstad Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Threat & Adversarial AI Expert in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the cybersecurity and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to Threat Modelling and Adversarial Engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI security. Be ready to discuss how you would tackle real-world scenarios, especially those involving AWS Bedrock and regulatory compliance. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly helps us keep track of your application. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Threat & Adversarial AI Expert in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Threat & Adversarial AI Expert. Highlight your experience in UK Financial Services and any relevant projects that showcase your skills in advanced threat modelling and adversarial engineering.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about cybersecurity and how your expertise aligns with our mission at StudySmarter. Don’t forget to mention your hands-on experience with AWS Bedrock and compliance frameworks.
Showcase Relevant Skills: Be sure to emphasise your mastery of OWASP LLM Top 10 and the NIST AI Risk Management Framework. We want to see how you can translate complex AI Red Teaming outcomes into actionable insights for both engineers and executives.
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 don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Randstad Digital
✨Know Your Threat Models
Make sure you brush up on advanced threat modelling techniques like STRIDE and OWASP LLM. Be ready to discuss how you've applied these frameworks in past roles, as this will show your depth of knowledge and practical experience.
✨Showcase Your Adversarial Engineering Skills
Prepare to talk about specific adversarial threats you've encountered, such as Prompt Injection or Denial-of-Wallet. Bring examples of how you've translated these threats into test cases, demonstrating your hands-on experience in the field.
✨Demonstrate AWS Bedrock Mastery
Familiarise yourself with the secure model lifecycle in AWS Bedrock. Be prepared to discuss how you've configured Guardrails and Knowledge Bases, as well as any challenges you've faced and how you overcame them.
✨Understand Regulatory Frameworks
Brush up on DORA, FCA Operational Resilience, and the EU AI Act. Be ready to explain how you've mapped safeguard catalogues against these regulations in previous roles, showcasing your ability to navigate complex compliance landscapes.