Cyber Threat Intelligence Lead — Remote, Flexible

Cyber UK; San Francisco, New York (CA, NY); Remote; USD 115,000 - 140,000; Full time

Benefits offered by this job

Flexible working hours

Remote work option

Mentorship program

Learning & development assistance

Generous healthcare benefits

Job summary

CyberCube delivers leading analytics quantifying cyber risk and translates it into financial impact for insurers and markets. You will join a team of analysts, data scientists, actuaries, and risk modelers to develop insights and risk scenarios for the (re)insurance industry.

You will own technology risk perspectives, validate models, and translate AI-driven and data-driven factors into risk assumptions. Collaboration with engineering and product teams will be core to delivering quarterly

Qualifications

• Bachelor’s or master’s degree in cyber security, CS, statistics, economics, mathematics, or related field.
• 3–5 years experience in offensive and/or defensive cyber security (CISSP, CEH, CISM, CompTIA Security+, or other certification preferred).
• Fluent in Python/R, SQL, JSON/XML, APIs and Excel to collaborate with analytics teams.
• Ability to translate real-world cyber threat behavior into modeling assumptions and scenarios.

Responsibilities

• Develop insights, scores, and features for cyber risk analytics for (re)insurance products.
• Own technology risk viewpoints and scenario libraries, including AI-driven scenarios.
• Present methodologies and risk trends to clients and engage in strategic dialogue.

Skills

Python/R

SQL

APIs

JSON/XML

Excel

Education

Bachelor’s or Master’s degree in cyber security, computer science, statistics, economics, mathematics, or related field

Tools

Jupyter/Notebook tooling

Data Visualization tools

Job description

CyberCube delivers leading analytics quantifying cyber risk and translates it into financial impact for insurers and markets. You will join a team of analysts, data scientists, actuaries, and risk modelers to develop insights and risk scenarios for the (re)insurance industry.

You will own technology risk perspectives, validate models, and translate AI-driven and data-driven factors into risk assumptions. Collaboration with engineering and product teams will be core to delivering quarterly