Lead Actuary — Flexible Hours, Cyber Risk Analytics

US Health Partners, LLC

New York (NY)

Remote

USD 120,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Healthcare benefits
Flexible working hours
Remote work option
Secondment program
Mentorship program

Job summary

CyberCube is seeking a Lead Actuary to apply statistical methods and stress-test internal models for comprehensive insurance analytics. You will collaborate with cross-functional teams to interpret key findings and communicate results to stakeholders.

You will validate models, adapt to a changing environment, and participate in internal R&D while providing analytical support to teammates in a fast-paced, global setting.

Qualifications

  • Strong analytical and problem-solving abilities.
  • Ability to work independently and in a team.
  • Excellent organizational and detail-oriented approach.
  • 3–5 years of relevant actuarial or data science experience.

Responsibilities

  • Identify, evaluate and recommend statistical methods for use in analysis.
  • Stress-test internal models and validate outputs.
  • Interpret and validate key findings with team members.
  • Communicate analysis results to internal and external stakeholders.
  • Continuously adapt models to changing environment.
  • Support other team members with analytical insights.
  • Participate in internal R&D activities.

Skills

Analytical thinking
Team independence
Results driven
Attention to detail
Communication

Education

Bachelor’s degree in statistics/data science/ actuarial or related field

Tools

VBA
SQL
R
Python
Tableau

Job description

CyberCube is seeking a Lead Actuary to apply statistical methods and stress-test internal models for comprehensive insurance analytics. You will collaborate with cross-functional teams to interpret key findings and communicate results to stakeholders.

You will validate models, adapt to a changing environment, and participate in internal R&D while providing analytical support to teammates in a fast-paced, global setting.

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