AI Threat and Defence Analyst

Vanguard

. Establish and lead a strategic AI Security and Adversarial Threat Defence programme .

Posted 11/11/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI Security and Adversarial Threat Defence, with a strong focus on malware analysis, reverse engineering, and incident response. Capable of leading teams and developing strategic programmes aligned with industry standards and regulatory requirements.

Highest-signal resume keywords

AI Security Programme LeadershipMalware Analysis and Reverse EngineeringPython Development and Security AutomationThreat Intelligence and Incident ResponseStakeholder Management and Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Malware AnalysisReverse EngineeringIncident ResponseThreat IntelligenceSecurity MonitoringDetection EngineeringDeception TechnologiesAI Security RisksAdversarial Attack TechniquesPython Development

Soft Skills

Team BuildingMentoringCommunication SkillsStakeholder ManagementExecutive Reporting

Tools & Technologies

HoneypotsCanary AssetsDecoy EnvironmentsDigital Forensics ToolsSecurity Automation ToolsNIST AI RMFMITRE ATT&CKMITRE ATLASOWASP LLM Top 10ISO 27001

Industry Keywords

Cyber SecurityThreat IntelligenceRed TeamingAdversary EmulationOffensive SecurityAI-Enabled ThreatsRegulatory ComplianceEU AI ActUK Regulatory RequirementsGovernance Framework

Tech Stack

Tools & technologies

CloudCyber SecurityPython.NET

About the role

Key responsibilities & impact

Establish and lead a strategic AI Security and Adversarial Threat Defence programme
Define the programme's vision, operating model, governance framework, and technical roadmap
Build, mentor, and develop a team spanning threat research, reverse engineering, AI security, and detection engineering
Design, test, and evaluate controls against AI-enabled and autonomous attack techniques
Develop and operate deception technologies, including honeypots, canary assets, and decoy environments
Create and maintain research and testing environments for adversarial AI scenarios
Conduct malware analysis, reverse engineering, and forensic investigations
Develop AI-enabled analysis and intelligence workflows
Translate threat intelligence into automated detection, response, and containment capabilities
Assess emerging AI-related threats and model likely attack paths
Lead complex incident investigations involving AI-enabled threats and provide executive reporting
Partner with AI/ML engineering, cloud security, identity and access management, enterprise architecture, and technology teams
Define programme KPIs and maturity measures and report progress and risk exposure to senior leadership, governance forums, and risk committees
Ensure alignment with NIST AI RMF, MITRE ATT&CK, MITRE ATLAS, OWASP LLM Top 10, ISO 27001, the EU AI Act, and UK regulatory requirements

Requirements

What you’ll need

Significant experience within Cyber Security, Threat Intelligence, Incident Response, Red Teaming, Adversary Emulation, or Offensive Security
Experience building or leading specialist security capabilities, programmes, or teams
Strong technical expertise in malware analysis and reverse engineering across Windows platforms, including x86/x64, .NET, and scripting frameworks
Hands-on experience conducting cyber investigations, digital forensics, and incident response activities
Strong Python development and security automation skills
Understanding of large language models (LLMs), autonomous agents, AI security risks, and adversarial attack techniques
Experience designing and implementing security monitoring, detection engineering, or deception capabilities
Strong stakeholder management and communication skills, including presenting to senior executives and governance committees
Degree qualification in a relevant discipline, or equivalent professional experience
Must work in the office 3 days per week on Tuesday, Wednesday, and Thursday
Vanguard is not offering visa sponsorship for this position

Benefits

Comp & perks

Hybrid working model with enhanced flexibility
In-person learning, collaboration, and connection
Opportunity to build and lead a pioneering AI Security capability
Opportunity to influence enterprise-wide adoption of secure and responsible AI practices
Collaboration with experienced security, technology, and risk professionals