Cyber Threat Intelligence Principal

Work with cyber threat analysts, economists, data scientists, actuaries, and risk modelers to develop insights, scores, and features for cyber risk analytics products serving the reinsurance industry

Own CyberCube's point of view on technology risk, including threat actor capabilities and trends, security hygiene standards and mitigations, and technology adoption and AI governance

Translate technology-risk factors into assumptions and scenarios driving risk models

Own the scenario and event-family library for cyber catastrophe modeling, including emerging AI-driven scenarios

Own the assumptions register and expert-judgment governance

Present CyberCube methodology, threat landscape, and emerging risk trends to clients and prospects

Engage stakeholders as a key thought leader on technology risk

Collaborate cross-functionally with engineering, product management, analytics, and client-facing teams

Deliver cyber threat intelligence reports quarterly, including threat landscapes, scenario libraries, and changes to mitigation and exploitation assumptions

Requirements

• Bachelor's or master's degree in cyber security, computer science, statistics, economics, mathematics, or related field
• 5+ years experience in offensive and/or defensive cyber security
• CISSP, CEH, CISM, CompTIA Security+, or other certification preferred
• Working fluency in Python / R, SQL, flat files and complex data types (JSON, XML), APIs, and Excel
• Ability to translate real-world cyber threat behavior into modeling assumptions and scenarios
• Strong critical thinking and problem-solving skills
• Executive-level communication and consulting presence with key stakeholders
• Experience working in and leading project teams
• Ability to work in an agile, fast-paced startup environment
• Ability to maintain relationships, collaborate effectively, and meet deadlines with a distributed, remote-first workforce
• Ability to think creatively and respond to emerging cyber and AI threats and their modeling implications
• Experience with analytics and risk modeling
• Experience in a SaaS product development environment
• Familiarity with ML techniques and statistical data analysis
• Familiarity with AI / LLM risk and its implications for cyber risk, social engineering, product safety, errors/omissions, and critical infrastructure
• Familiarity with Internet technologies such as BGP, TCP/IP, and DNS

Core Competencies

Demonstrates expertise in cyber risk analytics, translating technology risk factors into actionable modeling assumptions, and delivering insights on emerging threats. Proficient in collaborating with cross-functional teams and presenting complex information to stakeholders.

Highest-signal resume keywords

• Cyber Security Expertise
• Risk Modeling Experience
• Python / R Proficiency
• CISSP / CEH / CISM Certification
• Agile Project Leadership

Hard Skills

• Cyber Risk Analytics
• Threat Intelligence Reporting
• Data Analysis
• Modeling Assumptions Translation
• Statistical Data Analysis
• Machine Learning Techniques
• SaaS Product Development
• Complex Data Types (JSON, XML)
• APIs
• Excel

Soft Skills

• Critical Thinking
• Problem-Solving
• Executive-Level Communication
• Collaboration
• Creative Thinking
• Critical Thinking
• Problem-Solving
• Executive-Level Communication
• Collaboration
• Creative Thinking

Certifications & Qualifications

• CISSP
• CEH
• CISM
• CompTIA Security+

Industry Keywords

• Cyber Threat Analysis
• Technology Risk
• AI Governance
• Cyber Catastrophe Modeling
• Emerging AI Threats
• Internet Technologies
• BGP
• TCP/IP
• DNS
• Social Engineering

Tools & Technologies

• Python
• R
• SQL
• Excel
• APIs