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- Tasks: Lead threat modelling for AI systems in a prestigious financial services environment.
- Company: Join a top UK financial services firm focused on AI security.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and enhance your skills in a dynamic setting.
- Why this job: Make a real impact by securing cutting-edge AI technologies in finance.
- Qualifications: Experience in financial services and strong understanding of AI security principles.
The predicted salary is between 70000 - 90000 £ per year.
Prestigious UK Financial services end customer deploying a large security and AI programme require a Threat Modelling and AI Consultant. The AI Security Threat Modelling Lead is responsible for designing, implementing, and maintaining structured threat modelling practices within a financial services end customer environment. The role focuses on securing AI and machine learning systems, particularly large language models (LLMs) and agentic AI systems, by identifying, analysing, and operationalising adversarial risks in line with regulatory, operational resilience, and industry best practices.
Key Responsibilities:
- Leads structured threat modelling activities using methodologies such as STRIDE for AI, OWASP LLM and Agentic AI threat categories, and attack tree analysis.
- Develops and maintains a prioritised catalogue of AI-specific threat scenarios relevant to financial services use cases, including Prompt Injection, Sleeper Agent behaviour, and Denial-of-Wallet attacks.
- Translates identified threat scenarios into adversarial test cases in collaboration with AI/ML evaluation and engineering teams supporting the financial services end customer.
- Facilitates scenario-based workshops with engineering, security, risk, and business stakeholders within the end customer organisation to validate the effectiveness of AI security controls in realistic operating conditions.
- Expands and maintains a safeguards catalogue aligned to financial services regulatory and compliance frameworks, including FCA Operational Resilience, DORA, and the EU AI Act.
- Maintains an adversarial AI knowledge base covering emerging attack techniques, exploitation patterns, tooling, and defensive strategies relevant to regulated environments.
- Supports continuous improvement of secure AI development and deployment practices across the financial services end customer estate.
Required Experience and Skills:
- Strong experience working within or for UK financial services end customers, with deep understanding of regulated environments and operational resilience requirements.
- Familiarity with FCA Operational Resilience, DORA (Digital Operational Resilience Act), and the EU AI Act.
- Hands-on experience with AWS Bedrock, including Agents, Knowledge Bases, Guardrails, and model lifecycle management.
- Strong foundational understanding of AI/ML concepts, including foundation models (FMs), retrieval-augmented generation (RAG), non-deterministic agent systems, and tool-using architectures.
- Deep knowledge of secure AI principles, including OWASP LLM Top 10, Agentic AI threat landscapes, and exposure to NIST AI Risk Management Framework (AI RMF) preferred.
- Proven experience in adversarial thinking, structured threat modelling, and security analysis of complex AI-enabled systems.
Desirable Attributes:
- Ability to translate technical AI security risks into regulatory, risk, and business impact language within a financial services end customer setting.
- Experience working across cross-functional teams including security engineering, data science, risk, compliance, and architecture.
- Strong communication and stakeholder management skills, with the ability to influence security decisions in complex enterprise environments.
You must be UK based as this is an inside IR35 contract role working via umbrella company.
Threat Modelling and AI Consultant in London employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Threat Modelling and AI Consultant in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the financial services sector. Attend industry events, webinars, or even local meetups. The more people you know, the better your chances of landing that Threat Modelling and AI Consultant gig.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your experience with threat modelling and AI security. Include case studies or examples of how you've tackled adversarial risks. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of regulatory frameworks like FCA Operational Resilience and DORA. Be ready to discuss how you can apply structured threat modelling methodologies in real-world scenarios. We want to see your expertise shine!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great opportunity to reiterate why you’re the perfect fit for the job.
We think you need these skills to ace Threat Modelling and AI Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Threat Modelling and AI Consultant. Highlight your experience with threat modelling methodologies like STRIDE and any relevant projects you've worked on in financial services.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that show how you’ve tackled adversarial risks or implemented secure AI practices. This will help us see your hands-on experience.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about AI security and how your background aligns with our needs. Make it personal and engaging, so we can get a sense of who you are.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group
✨Know Your Threat Modelling Methodologies
Familiarise yourself with methodologies like STRIDE and OWASP LLM. Be ready to discuss how you've applied these in past roles, especially in financial services. This shows you understand the specific challenges and can hit the ground running.
✨Showcase Your Adversarial Thinking
Prepare examples of how you've identified and mitigated adversarial risks in AI systems. Discuss specific scenarios like Prompt Injection or Denial-of-Wallet attacks, and how you approached them. This will demonstrate your hands-on experience and critical thinking skills.
✨Understand Regulatory Frameworks
Brush up on FCA Operational Resilience, DORA, and the EU AI Act. Be prepared to explain how these regulations impact threat modelling in financial services. This knowledge will highlight your ability to navigate complex compliance landscapes.
✨Engage with Stakeholders
Think about how you would facilitate workshops with cross-functional teams. Prepare to discuss your communication strategies and how you influence security decisions. This will show that you can work collaboratively and effectively within an enterprise environment.