Job Description:
• Review and validate AI-generated outputs in pricing, reserving, underwriting, and risk modeling
• Evaluate actuarial projections (mortality, morbidity, loss development) for accuracy and compliance with regulatory standards
• Provide structured feedback on assumptions, clarity, and methodology consistency
• Stress-test AI outputs across claims scenarios, reserve adequacy, and solvency models
• Tag and organize content by insurance domain (life, health, property & casualty, reinsurance)
• Support benchmarking to assess AI capabilities in actuarial science and insurance operations
Requirements:
• Degree in Actuarial Science, Mathematics, Statistics, Risk Management, or a related field (ASA, ACAS, or equivalent preferred)
• 2+ years of experience in actuarial practice, insurance analytics, underwriting, or risk modeling
• Familiarity with actuarial software/tools (e.g., Prophet, AXIS, R, Python)
• Strong analytical, technical writing, and communication skills
• Ability to critically evaluate and explain complex insurance methodologies
Benefits:
• Remote (US, UK, or Canada preferred)
• Flexible time commitment (15–25 hours per week, with flexibility up to ~40)
• Fully remote, asynchronous work offering maximum flexibility
• Independent contractor engagement, with daily payments via Stripe Connect