Lead Cyber Threat Intelligence & Risk Analytics

CyberCube Analytics Inc.; New York (NY); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible working hours and remote work

Mentorship program

Learning and development assistance

Job summary

CyberCube Analytics, Inc. seeks a data‑driven cyber risk analytics professional to join a cross‑functional team delivering analytics to the (re)insurance industry.

You will own technology risk viewpoints, develop scenario libraries and governance, and present methodologies to clients, coordinating with engineering, analytics and product teams.

The role offers flexible, remote-friendly work within a fast‑growing SaaS startup that values initiative and collaboration.

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 (CISSP, CEH, CISM, CompTIA Security+, or other certification preferred)
• Python / R, SQL, JSON/XML, APIs, and Excel for data analysis
• Translate cyber threat behavior into modeling assumptions and scenarios
• Strong communication and collaboration with stakeholders

Responsibilities

• Develop insights, scores, and features for cyber risk analytics products
• Own technology risk viewpoints and scenario libraries for modeling
• Present methodology to clients and engage with stakeholders
• Collaborate with engineering, product, analytics, and client teams
• Deliver cyber threat intelligence reports on a quarterly cadence

Skills

Python

R

SQL

APIs

Excel

Data modeling

Communication

Project leadership

Agile

Remote collaboration

AI threat modeling

Education

Bachelor's or Master's in cyber security, CS, stats, econ, math, or related field

Job description

CyberCube Analytics, Inc. seeks a data‑driven cyber risk analytics professional to join a cross‑functional team delivering analytics to the (re)insurance industry.

You will own technology risk viewpoints, develop scenario libraries and governance, and present methodologies to clients, coordinating with engineering, analytics and product teams.

The role offers flexible, remote-friendly work within a fast‑growing SaaS startup that values initiative and collaboration.