Global reinsurance underwriting platform for life, protection, and longevity risk
Pacific Life Re underwrites life, critical illness, income protection, and longevity reinsurance across six continents, backed by a 150-year parent company. The tech stack reveals a finance-ops hybrid: identity and security infrastructure (CyberArk, Okta, Entra) paired with analytics (Alteryx, Power BI, Prophet) and modern development tools (Python, TypeScript, React, AWS). Finance is hiring at 3.6× the rate of engineering, while active projects center on pricing models, biometric assumptions, and underwriting automation—signaling investment in analytical depth and operational efficiency over platform infrastructure.
Notable leadership hires: Client Solutions Director
Pacific Life Re is a Bermuda-based reinsurer providing bespoke solutions for life, critical illness, income protection, hospital cash, and retirement products across 150+ countries. The company operates through offices in Europe, Asia, North America, and Australia, with over 700 employees globally. Its parent company, Pacific Life, carries a heritage spanning more than 150 years. Core operations focus on underwriting, pricing, and risk modeling for complex reinsurance treaties; recent work includes standardizing capabilities across geographies, embedding analytics into pricing workflows, and developing risk-based underwriting frameworks for ocean and non-proportional retrocession markets.
Pacific Life Re uses CyberArk and Delinea for secrets management, Okta and Entra for identity, and Alteryx, Power BI, and Prophet for analytics and data modeling. Development is supported by Python, TypeScript, React, AWS, and SQL Server.
Key projects include modeling non-proportional retrocession arrangements, developing biometric assumptions for global markets, embedding analytics into underwriting and pricing, scaling assumption production, and automating underwriting frameworks. A multi-year underwriting manual update is underway.
Pacific Life Re's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.