Global Indemnity writes specialty P&C coverage for niche markets, backed by an AWS-native serverless stack (Lambda, ECS, DynamoDB, API Gateway) alongside Vertafore for agency management. Azure OpenAI, RAG and Copilot Pro in the stack point to early generative AI work inside a Microsoft Power Platform and Purview environment. Current project work centers on underwriting profitability alerts and fraud monitoring, which ties analytics directly to loss and cost control.
Notable leadership hires: Head of Legal
Global Indemnity is a publicly traded specialty property and casualty insurer headquartered in Bala Cynwyd, Pennsylvania. Its member companies cover markets that mainstream carriers often avoid, including small business, manufactured homes, vacant property, agriculture, professional lines and collectibles. The company employs between 201 and 500 people. Hiring is concentrated in the United States and spans insurance, data, finance, legal and operations functions.
Global Indemnity runs on AWS (Lambda, ECS, DynamoDB, RDS, SQS, API Gateway), Python with FastAPI and Flask, React and TypeScript, PostgreSQL and MySQL, plus Vertafore, Power BI, Power Platform and Azure OpenAI.
Yes. Its stack includes Azure OpenAI, RAG (retrieval-augmented generation) and Copilot Pro, with Microsoft Purview present for data governance.
Current work includes fraud monitoring scripts, underwriting profitability metric alerts, upgrades to Power BI content and automation of routine finance analyses.
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GBLI | Global Indemnity'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 →
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