Principal Actuary — AI-Driven Cyber Risk Analytics Lead

CyberCube Analytics Inc.; New York (NY); Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

Generous healthcare benefits

Flexible working hours

Work-from-home option

Job summary

CyberCube Analytics, Inc. is seeking a Principal Actuary to apply statistical methods, stress-test internal models, and communicate results to stakeholders. You will collaborate across teams to validate findings and adapt models to shifting environments, driving high-quality actuarial outputs.

The role emphasizes independence, analytical rigor and cross-functional teamwork in a global cyber risk analytics environment. Flexible hours and remote work options support work-life balance.

Qualifications

• Strong analytical and problem-solving skills.
• Ability to work independently and in a team.
• Excellent communication and presentation skills.
• Experience with VBA, SQL, R, Python, Tableau.
• Bachelor's degree in a quantitative field.
• 6–8 years of relevant work experience.

Responsibilities

• Identify, evaluate and recommend statistical methods for analysis.
• Stress-test internal models and help locate bugs or corner cases.
• Interpret findings with the team to ensure high-quality deliverables.
• Communicate analysis results to internal and external stakeholders.
• Continuously validate and adapt models to changing environment.
• Support other team members with analytical work.
• Participate in internal R&D activities as needed.

Skills

VBA

SQL

R

Python

Tableau

Statistical analysis

Education

Bachelor's degree in a quantitative field

Tools

VBA

SQL

R

Python

Tableau

Job description

CyberCube Analytics, Inc. is seeking a Principal Actuary to apply statistical methods, stress-test internal models, and communicate results to stakeholders. You will collaborate across teams to validate findings and adapt models to shifting environments, driving high-quality actuarial outputs.

The role emphasizes independence, analytical rigor and cross-functional teamwork in a global cyber risk analytics environment. Flexible hours and remote work options support work-life balance.