Lead Cyber Threat Intelligence — AI-Driven Risk Analytics

Spectrum Equity; New York (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible hours

Remote-friendly environment

Mentorship program

Secondment opportunities

Collaborative culture

Job summary

CyberCube Analytics, Inc. is seeking a proactive cyber risk analyst to join a global team of threat researchers, data scientists, and risk modellers. You will develop insights, scores, and AI-assisted scenarios for (re)insurers, translating threat data into robust risk models and client-ready analyses.

You will work with engineering, product, and analytics teams in a fast-paced, remote-first environment, contributing to quarterly threat reports and industry dialogue.

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 with relevant certifications.
• Fluency in Python / R, SQL, and handling JSON/XML data and APIs; strong Excel skills.
• Ability to translate cyber threat behavior into modeling assumptions and scenarios.

Responsibilities

• Collaborate with analysts, data scientists, actuaries, and risk modelers to develop insights and risk scores.
• Own technology risk perspectives, including threat actor trends and security hygiene standards.
• Translate factors into modeling assumptions and AI-driven scenario planning.
• Lead cross-functional projects with engineering, product, analytics, and client teams.
• Present methodology and risk trends to clients and executives.

Skills

Threat modelling

Cyber security

Python

R

SQL

Data visualization

Communication

Education

Bachelor's or Master's in cyber security, CS, statistics, economics, math

Tools

JSON

XML

APIs

Excel

Job description

CyberCube Analytics, Inc. is seeking a proactive cyber risk analyst to join a global team of threat researchers, data scientists, and risk modellers. You will develop insights, scores, and AI-assisted scenarios for (re)insurers, translating threat data into robust risk models and client-ready analyses.

You will work with engineering, product, and analytics teams in a fast-paced, remote-first environment, contributing to quarterly threat reports and industry dialogue.