Cyber Threat Intelligence Principal

About This Opportunity

We are representing a confidential cyber risk analytics firm seeking a Cyber Threat Intelligence Principal for their London office. Our client delivers advanced analytics solutions to the insurance and reinsurance sector, translating cyber risk into quantifiable financial impact. This is a high-impact role where you'll shape threat intelligence frameworks, catastrophe modeling scenarios, and risk assumptions that drive decision-making for major industry players.

Responsibilities

• Lead a cross-functional team of cyber threat analysts, data scientists, actuaries, and risk modelers to develop cyber risk analytics for insurance products
• Own the organization's perspective on technology risk, including offensive threat actor capabilities, security hygiene standards (NIST CSF, CIS), and emerging technology adoption trends
• Develop and maintain the scenario and event family library for cyber catastrophe modeling, with particular focus on AI-driven threat scenarios
• Manage the assumptions register and expert-judgment governance framework, ensuring all modeling choices have documented, client-defensible rationale
• Present methodology, threat landscape insights, and emerging risk trends to clients and prospects, adapting technical depth for audiences from analyst to C-Suite level
• Collaborate with engineering, product management, analytics, and client-facing teams to deliver product goals and project milestones
• Produce quarterly cyber threat intelligence reports covering threat landscapes, scenario libraries, and assumption updates

What We're Looking For

Required qualifications:

• Bachelor's or Master's degree in cybersecurity, computer science, statistics, economics, mathematics, or related field
• 5+ years of experience in offensive and/or defensive cybersecurity (CISSP, CEH, CISM, CompTIA Security+, or similar certification preferred)
• Working fluency in Python/R, SQL, complex data types (JSON, XML), APIs, and Excel—sufficient to specify and interpret analysis
• Proven ability to translate real-world cyber threat behavior into modeling assumptions, scenario likelihoods, severity assessments, and mitigation impacts
• Executive-level communication skills and consulting presence with senior stakeholders
• Strong critical thinking, problem-solving abilities, and intellectual curiosity
• Experience leading project teams and working in agile, fast-paced environments
• Ability to collaborate effectively with distributed, remote-first teams and meet deadlines consistently
• Creative thinking to respond to emerging threats (cyber, AI, other) and their modeling implications

Valuable additional experience:

• Background in analytics and risk modeling
• Experience in SaaS product development environments
• Familiarity with ML techniques and statistical data analysis
• Understanding of AI/LLM risks and implications for cyber risk, social engineering, product safety, errors/omissions, and critical infrastructure
• Knowledge of Internet technologies such as BGP, TCP/IP, DNS

How We Work With You

Interested candidates should apply through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and career goals. Qualified candidates will be submitted to our client for consideration. Please do not contact the client directly—all communication will be coordinated through our talent team to ensure the best experience for you throughout the process.

Pay

This position is based in our client's London office. Competitive salary and benefits package aligned with market rates for senior cybersecurity intelligence roles in the UK. Specific compensation details will be discussed during the screening process.

Equal Employment Opportunity: Get A Job.ai is committed to creating an inclusive environment for all candidates. We do not discriminate on the basis of age, gender, gender identity, gender expression, sexual orientation, race, color, nationality, ethnicity, religion, disability, veteran status, protected genetic information, or political affiliation.