Teams at Accelerant

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Deliver and interpret catastrophe modelling and exposure analytics across global insurance portfolios. Support accumulation monitoring, PML optimization, exposure data quality, reinsurance treaty analysis, portfolio reporting, and strategic risk decisions. Collaborate with underwriting, exposure data, ceded reinsurance, brokers, reinsurers, capital providers, and model vendors. Improve and automate catastrophe modelling, exposure management, and reporting workflows while translating complex results into actionable insights.

Design, build, and operate scalable web applications, APIs, services, and AI-enabled workflows. Use AI tools across the development lifecycle, ensure reliability, performance, and observability, contribute to technical decisions, iterate from user feedback, and own production quality and delivery as part of cross-functional squads.