Cyber Threat Intel Lead — AI-Driven Risk Analytics

Hyperproof; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible hours

Remote-friendly

Mentorship program

Job summary

CyberCube Analytics, Inc. is hiring for a role in New York focusing on cyber risk analytics. You will work with threat analysts, data scientists, economists, actuaries and risk modelers to develop insights and scores for our products addressing the insurance industry.

You will own the technology risk viewpoint, validate models against real-world events, and communicate complex risk scenarios to clients and stakeholders with a clear, professional narrative.

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 sufficient to interface with data/analytics teams.

Responsibilities

• Develop insights, scores, and features for cyber risk analytics products for (re)insurance.
• Present methodology, threat landscape, and risk trends to clients and prospects.
• Collaborate with engineering, product management, analytics, and client-facing teams.
• Deliver cyber threat intelligence reports on a quarterly cadence.

Skills

Python

SQL

Data analysis

Excel

Education

Bachelor's or Master's in cyber security / related field

Tools

JSON

XML

APIs

Job description

CyberCube Analytics, Inc. is hiring for a role in New York focusing on cyber risk analytics. You will work with threat analysts, data scientists, economists, actuaries and risk modelers to develop insights and scores for our products addressing the insurance industry.

You will own the technology risk viewpoint, validate models against real-world events, and communicate complex risk scenarios to clients and stakeholders with a clear, professional narrative.