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CyberCube is a leading cyber risk analytics platform trusted by 75% of top 40 European and US cyber insurance carriers and 70% of top 10 reinsurance brokers. The company uses AI at its foundation to translate cyber risk into financial impact for businesses and markets.
In this role, you will lead CyberCube's point of view on technology risk and work within a multidisciplinary team of cyber threat analysts, economists, data scientists, actuaries, and risk modelers. Your key responsibilities include:
- Owning technology risk analysis across offensive capabilities and trends among threat actor classes, validating models against real-world events, and assessing security hygiene standards (NIST CSF, CIS) and mitigations.
- Developing and maintaining the scenario and "event family" library for cyber catastrophe modeling, including emerging AI-driven scenarios.
- Managing the assumptions register and expert-judgment governance, documenting the rationale for modeling choices that are not purely data-driven.
- Serving as a key thought leader and voice on technology risk, presenting CyberCube methodology and threat landscape to clients and prospects across varying technical backgrounds (analyst to C-Suite).
- Collaborating cross-functionally with engineering, product management, analytics, and client-facing teams to deliver projects and product goals.
- Delivering quarterly cyber threat intelligence reports on threat landscape, scenario libraries, and changes to mitigation and exploitation assumptions.
- Translating real-world cyber threat behavior into modeling assumptions and scenarios, including likelihood, severity, and mitigation impacts.
You will work in a collaborative, fast-paced startup environment with a distributed, remote-first workforce across San Francisco, New York, London, and Tallinn. The role offers flexible working hours and the option to work remotely, with a company-supported mentorship program and opportunities for professional development.
REQUIREMENTS:
- Bachelor's or Master's degree in cybersecurity, computer science, statistics, economics, mathematics, or related field
- 3–5 years of experience in offensive and/or defensive cybersecurity (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—sufficient to specify and interpret analysis with data/analytics teams
- Ability to translate real-world cyber threat behavior into modeling assumptions and scenarios
- Strong critical thinking, problem-solving, and communication skills with consulting presence
- Experience working in and leading project teams
- Ability to thrive in an agile, fast-paced startup environment and maintain relationships with a distributed workforce
- Ability to think creatively and respond to emerging threats (cyber, AI, other) and their modeling implications
DESIRABLE:
- 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, and critical infrastructure
- Familiarity with Internet technologies (BGP, TCP/IP, DNS, etc.)
