Pension administration software and managed services for UK schemes
Heywood operates a 50-year-old pension administration business built on Java, AWS, Kubernetes, and Terraform — a mature, infrastructure-heavy stack optimized for compliance and uptime. The company is adopting React and TypeScript while actively hiring across engineering, product, and security, with hiring now extending to the United States. Current project focus on process automation, security operations, and integration gaps reveals a business transitioning from manual administration toward product-led scaling.
Heywood provides pension administration software and support services to pension schemes and providers in the UK. The business centers on three areas: core administration tooling (built in Java on AWS infrastructure), expanding product modules, and managed services including member dashboards and data cleansing. The company serves schemes managing financial outcomes for millions of members. Operations span the full pension lifecycle — from administration process streamlining to risk transfer support to regulatory compliance (Pensions Dashboards). The 201–500-person team operates from Altrincham, Greater Manchester, with recent hiring expansion into the US market.
Java, AWS, Kubernetes, Docker, Terraform, Jenkins, TypeScript, and Groovy form the core. The company runs on Jira and Confluence for collaboration, IntelliJ IDEA for development, and is actively adopting React and TypeScript.
Current projects include security operations automation, building repeatable processes, product module development, pensions administration process improvement, customer training programs, and investigating new frameworks and technologies.
Heywood'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.