Cyber Threat Intelligence Principal

The role

You will develop insights, scores, and features for cyber risk analytics products. You will own the company's point of view on technology risk and manage scenario libraries for cyber catastrophe modeling.

What you will do

• Develop insights, scores, and features for cyber risk analytics products
• Own CyberCube's point of view on technology risk
• Validate CyberCube models against observed real-world events
• Translate technology factors into assumptions and scenarios for risk models
• Own the scenario and event family library for cyber catastrophe modeling
• Own the assumptions register and expert-judgment governance
• Present methodology, threat landscape, and emerging risk trends to clients and prospects
• Engage in cross functional collaboration with engineering, product, and analytics teams
• Deliver cyber threat intelligence reports on a quarterly cadence

Required qualifications

• 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
• 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
• Intellectual curiosity, willingness to learn new skills, and push ideas forward
• 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 threats and their modeling implications

Nice to have

• CISSP, CEH, CISM, CompTIA Security+, or other certification
• 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
• Familiarity with a wide variety of Internet technologies such as BGP, TCP/IP, DNS, etc.

Benefits

• Flexible working hours
• Option to work remotely
• Opportunity to participate in a secondment program
• Company-supported mentorship program
• Competitive salary
• Unlimited PTO (US)
• Generous healthcare benefits with medical, dental and vision coverage (US)
• Monthly catered lunches and happy hours (US)
• Company-paid learning and development assistance (US)
• Dependant care assistance plan (US)
• Pension and benefits (UK)
• Generous private medical healthcare insurance with dental and vision coverage (UK)

Before you apply

• AI fluency is part of how we assess every role in our hiring process

About the company

CyberCube delivers analytics to quantify digital risk for global carriers, reinsurers and brokers. The company is built on AI and has a global team across San Francisco, New York, London, and Tallinn.