E&S insurer modernizing legacy systems with ML and real-time data integration
Kinsale is a public excess-and-surplus lines insurer (500–1,000 employees, Richmond, VA) undergoing active platform modernization. The tech stack—Java, Angular, React, Svelte on AWS—is now absorbing generative AI tools (GitHub Copilot, ChatGPT, Claude) while the project backlog shows a clear pivot from legacy migration toward data-driven underwriting: catastrophe modeling, predictive ML pipelines, and multi-source data integration across underwriting and actuarial teams. The hiring mix skews senior and leadership (4 senior, 2 lead roles) in engineering and data, signaling a push to build internal capability rather than outsource transformation.
Notable leadership hires: Software Lead
Kinsale Insurance writes hard-to-place property, casualty, and specialty risks for small-to-mid-market accounts—including allied health, aviation, cannabis, construction, energy, and entertainment verticals. Distribution flows through appointed surplus lines brokers nationwide. The company operates a vertically integrated underwriting and operations model, building most capabilities in-house from underwriting through technology. A newly constructed headquarters in Richmond supports in-person collaboration and team development. Current operational focus centers on data platform modernization, pricing analytics, and automation of form management and underwriting workflows.
Java, Angular, Svelte, React, AWS, and Microsoft 365. The company is currently adopting GitHub Copilot, ChatGPT, and Claude for development and workflow automation.
Platform modernization (legacy migration), catastrophe modeling, predictive ML for underwriting, multi-state form automation, real-time data integration across actuarial and underwriting teams, and genAI-assisted playbook generation.
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