FWD operates across 10 Asian markets with ~40 million customers and is aggressively hiring across finance, ops, and sales functions. The tech stack spans legacy enterprise (ServiceNow, Workday, Oracle, SQL Server) and modern cloud (AWS, Azure, GCP, Databricks), with active infrastructure work (Terraform adoption, cloud ops standardization) and emerging AI initiatives (agentic AI with human-in-the-loop). Hiring velocity is accelerating, but engineering remains undersized relative to the compliance, automation, and cloud migration workload evident in their project list.
Notable leadership hires: Compliance Head, Sales Head, Community Care Director
FWD Group is a publicly listed (Hong Kong Stock Exchange, code 1828) pan-Asian life and health insurer founded in 2013, headquartered in Hong Kong. The business serves approximately 40 million customers across 10 markets, including operations in Indonesia, and specializes in life insurance, health insurance, and savings/wealth management products. The organization is structured around a customer-led, tech-enabled operating model with active initiatives spanning ecommerce, process automation, cloud infrastructure consolidation, and compliance framework design.
FWD's primary stack includes ServiceNow, Workday, Oracle, SQL Server, Salesforce, Azure, AWS, and GCP. Development uses Java, Python, React, Angular, Node.js, and React Native. Analytics leverage Tableau, Power BI, and Databricks. They are currently adopting Terraform for infrastructure automation.
Active projects include ecommerce portal development, ServiceNow platform integration, cloud operations standardization, agentic AI with human-in-the-loop, compliance framework design, and IFRS 17/9 compliance testing. Key focus areas are reducing manual workflows and consolidating cloud infrastructure.
FWD Insurance'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.