CyberCube
CyberCube
CyberCube dezvoltă analize ale riscurilor cibernetice pentru industria asigurărilor, combinând inteligența artificială cu expertiza multidisciplinară pentru a transforma amenințările cibernetice complexe în informații financiare cuantificabile. Instrumentele sale sprijină asigurătorii, brokerii, agenții generali administratori, reasigurătorii și echipele de administrare a portofoliilor în domenii precum subscrierea riscurilor cibernetice, brokerajul, administrarea portofoliilor și analiza riscurilor sistemice. Fondată în 2015, CyberCube activează la intersecția dintre securitatea cibernetică, asigurări și inteligența artificială.

Lead Actuary, Cyber Risk Analytics - CyberCube (Hybrid, New York)

Lead actuarial analysis and develop statistical models and tools for CyberCube’s cyber-risk analytics platform serving global insurers. Stress-test and validate models and data, then communicate findings to internal teams and customers.

Descriere

  • Use statistical methods to conduct comprehensive analyses
  • Stress-test internal models against expected outputs and customer needs
  • Detect bugs and edge cases in internal models
  • Interpret key findings and validate them with team members
  • Present analytical results to internal and external customers
  • Continually validate and adapt models as environments change
  • Contribute to internal research and development initiatives
  • Provide analytical and actuarial support to colleagues
  • Source relevant public information and data for underwriting and actuarial tools
  • Assess data sources for consistency, completeness, accuracy, and quality
  • Document modules used in internal tools

Cerințe

  • Demonstrate organization, attention to detail, discretion, thoroughness, independence, analytical ability, results orientation, and an efficiency-focused mindset
  • Work effectively both independently and as part of a team
  • Bring strong analytical and problem-solving capabilities
  • Have practical experience with VBA, SQL, R, Python, Tableau, or comparable statistical software
  • Hold a bachelor’s degree in statistics, actuarial science, data science, economics, mathematics, or a related quantitative field, or offer relevant professional experience
  • Bring 3 to 5 years of relevant work experience
  • Show fluency with AI, curiosity about its applications, and willingness to learn and use AI tools thoughtfully
  • The employer states an equal opportunity policy and does not specify work authorization requirements

Beneficii

  • Comprehensive healthcare coverage, including dental and vision plans
  • Flexible working hours
  • Work-from-home flexibility when needed
  • Eligibility to participate in a secondment program
  • Access to a company-supported mentorship program
  • A collaborative, respectful, and empathetic workplace culture

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