Cyber Threat Intelligence Lead — Remote & Flexible

CyberCube; Greater London; Remote; GBP 75,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

Pension

Private medical insurance

Extra vacation days

Job summary

CyberCube is seeking a qualified cybersecurity analytics professional to join our UK team. You will develop risk scores, model assumptions, and quantitative insights for our insurance industry products.

You will collaborate with engineers, data scientists, and client-facing teams to deliver high-impact analytics in a fast-paced, remote-friendly environment. Ideal candidates have 3–5 years in cybersecurity, strong Python/R and SQL skills, and the ability to translate threat intelligence into

Qualifications

• Bachelor's or master's degree in cyber security, CS, statistics, economics, mathematics, or related field.
• 3-5 years of experience in offensive and/or defensive cyber security with relevant certifications preferred.
• Fluency in Python / R, SQL, JSON/XML data types, APIs, and Excel for analytics work.
• Ability to translate real-world cyber threat behavior into modeling assumptions and scenarios.

Responsibilities

• Develop insights, scores, and features for cyber risk analytics products for (re)insurance.
• Own CyberCube's point of view on technology risk including threat actor trends and safe-harbor measures.
• Present methodology and risk landscapes to clients and executives.
• Collaborate with engineering, product, analytics, and client teams on projects.
• Deliver cyber threat intelligence reports on a quarterly cadence.
• Maintain and extend scenario libraries and governance for modeling assumptions.

Skills

Python

R

Data analysis

Excel

Communication

Critical thinking

Project management

Agile

Collaboration

Education

Bachelor's or master's degree in cyber security, computer science, statistics, economics, mathematics, or related field

Tools

SQL

JSON

XML

APIs

Excel

Job description

CyberCube is seeking a qualified cybersecurity analytics professional to join our UK team. You will develop risk scores, model assumptions, and quantitative insights for our insurance industry products.

You will collaborate with engineers, data scientists, and client-facing teams to deliver high-impact analytics in a fast-paced, remote-friendly environment. Ideal candidates have 3–5 years in cybersecurity, strong Python/R and SQL skills, and the ability to translate threat intelligence into