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CyberCube

Cyber risk analytics platform for insurance

Lead Actuary

Actuarial & Risk ModellingConfirmed live in the last 24 hours
Full-time$125k - $145k /yrHybrid

About the Job

Requirements

  • Organization, attention to detail, confidentiality, thoroughness, independence, ability to analyze information, results-driven approach, and bias toward efficiency.
  • Ability to work independently and in a team environment.
  • Excellent analytical and problem-solving skills.
  • Hands-on experience with VBA, SQL, R, Python, Tableau, or other statistical software.
  • Bachelor’s degree in a related quantitative discipline such as statistics, actuarial science, data science, economics, or mathematics, or relevant work experience.
  • Three to five years of relevant work experience.

Responsibilities

  • Identify, evaluate, and recommend statistical methods for use in analysis as appropriate.
  • Stress-test internal models on an ongoing basis to ensure output meets expectations and customer demand, while helping find bugs or corner cases that need attention.
  • Identify, interpret, and validate key findings with team members to ensure high-quality deliverables.
  • Communicate analysis results effectively with internal and external customers.
  • Continuously validate and adapt the model to a changing environment.
  • Participate in internal research and development activities as needed.
  • Provide analytical/actuarial support to other team members as needed.
  • Search for and identify relevant sources of publicly available information and data to support the development and enhancement of new and existing underwriting and actuarial tools.
  • Carefully review each data source for consistency, identify deficiencies, and perform basic tests and analysis to confirm accuracy and improve data quality.
  • Create comprehensive documentation for the different modules involved in creating internal tools.

About the Company

CyberCube

Cyber risk analytics platform for insurance

CyberCube provides a cloud-based analytics platform that helps insurance companies quantify and manage cyber risk. It supports underwriting, placement, and portfolio management by giving access to curated datasets, models, and signals that fit into insurers’ workflows. The company combines proprietary data with analytical models and offers advisory support from experts in data science, cyber security, AI, threat intelligence, actuarial science, and insurance. Its goal is to help carriers understand, quantify, and control cyber risk to price policies accurately, choose appropriate coverage, and optimize cyber-risk portfolios.

Company size
51-200
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$285M
Headquarters
San Francisco, CA
Founded
2015

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