Lead Cyber Threat Intelligence & Risk Modeling (Remote)

cybcube; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Competitive salary & benefits

Private medical insurance (UK)

Extra vacation days (UK)

Flexible remote working

Job summary

CyberCube is hiring to advance its cyber risk analytics platform for the (re)insurance industry. You will work with a cross-functional team of analysts, data scientists, actuaries, and risk modelers to develop insights, scores, and features that quantify technology risk.

You will own the technology risk viewpoint, validate models against real-world events, and contribute to scenario libraries and governance.

Qualifications

• Bachelor's or master's degree in cyber security, computer science, statistics, economics, mathematics, or related field
• 3-5 years experience in offensive and/or defensive cyber security (certifications preferred)
• Fluency in Python / R, SQL, JSON/XML, APIs, and Excel to guide analysis with data teams
• Ability to translate real-world cyber threat behavior into modeling assumptions and scenarios
• Strong communication and consulting presence with stakeholders
• Experience leading project teams in agile environments

Responsibilities

• Develop insights, scores, and features for cyber risk analytics products for the (re)insurance industry
• Own CyberCube's view on technology risk and threat actor trends
• Present methodology and risk trends to clients and prospects
• Collaborate with engineering, product, and analytics teams to deliver project goals
• Deliver quarterly cyber threat intelligence reports and scenario libraries

Skills

Python / R

SQL

JSON/XML

APIs

Excel

Modeling & risk analysis

Agile / startup experience

Communication with stakeholders

Education

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

Tools

CISSP/CEH/CISM/CompTIA Security+ (or other certs)

Job description

CyberCube is hiring to advance its cyber risk analytics platform for the (re)insurance industry. You will work with a cross-functional team of analysts, data scientists, actuaries, and risk modelers to develop insights, scores, and features that quantify technology risk.

You will own the technology risk viewpoint, validate models against real-world events, and contribute to scenario libraries and governance.