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CyberCube

Cyber risk analytics platform for insurance

Cyber Threat Intelligence Lead

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Bachelor's or master's degree in cyber security, computer science, statistics, economics, mathematics, or a related field.
  • Three to five years of experience in offensive and/or defensive cyber security.
  • Working fluency in Python, R, SQL, flat files, complex data types such as JSON and XML, APIs, and Excel sufficient to specify and interpret analysis with Data and Analytics teams.
  • Ability to translate real-world cyber threat behavior into modeling assumptions and scenarios, including scenario likelihoods, severity, and mitigation impacts.
  • Strong critical-thinking and problem-solving skills.
  • Strong 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 artificial-intelligence threats and their modeling implications in a timely manner.

Responsibilities

  • Work with cyber threat analysts, economists, data scientists, actuaries, and risk modelers to develop insights, scores, and features for products delivering cyber risk analytics to the insurance industry.
  • Own CyberCube's point of view on technology risk, including offensive capabilities and threat-actor trends, security hygiene standards and mitigations, and technology adoption and governance of artificial intelligence.
  • Translate technology-risk factors into assumptions and scenarios that drive risk models, especially where historical data is limited.
  • Own the scenario and event-family library for cyber catastrophe modeling, including emerging AI-driven scenarios.
  • Own the assumptions register and expert-judgment governance, including documented, client-defensible rationales for modeling choices that are not purely data-driven.
  • Present CyberCube methodology, threat landscape, and emerging risk trends to clients and prospects, and engage in strategic dialogue with key stakeholders.
  • Communicate with stakeholders across varying technical backgrounds and levels of seniority, from analysts to C-suite executives.
  • Collaborate cross-functionally with engineering, product management, analytics personnel, and client-facing teams to deliver projects and product goals.
  • Deliver cyber threat intelligence reports, including threat landscapes, scenario libraries, and changes to mitigation and exploitation assumptions, on a quarterly cadence.

Desired Qualifications

  • Experience with analytics and risk modeling.
  • Experience in a software-as-a-service product development environment.
  • Familiarity with machine-learning techniques and statistical data analysis.
  • Familiarity with artificial-intelligence and large-language-model risk and its implications for cyber risk, social engineering, product safety, errors and omissions, and critical infrastructure.
  • Familiarity with Internet technologies such as BGP, TCP/IP, and DNS.
  • CISSP, CEH, CISM, CompTIA Security+, or another relevant certification.

About the Company

CyberCube

Cyber risk analytics platform for insurance

CyberCube provides a cloud-based analytics platform that helps insurance companies quantify and manage cyber risk. It supports underwriting, placement, and portfolio management by giving access to curated datasets, models, and signals that fit into insurers’ workflows. The company combines proprietary data with analytical models and offers advisory support from experts in data science, cyber security, AI, threat intelligence, actuarial science, and insurance. Its goal is to help carriers understand, quantify, and control cyber risk to price policies accurately, choose appropriate coverage, and optimize cyber-risk portfolios.

Company size
51-200
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$285M
Headquarters
San Francisco, CA
Founded
2015

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