Verisk
Teams at Verisk
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Analytics
Serve as the primary clinical expert supporting Data Science and Development: validate and monitor AI models, define client requirements, drive product enhancements, and translate clinical feedback into business requirements and user stories.
Analytics
Lead product strategy and roadmap for catastrophe risk management software. Drive end-to-end product lifecycle from discovery through launch, perform market and customer research, engage directly with clients, prioritize features, collaborate with cross-functional teams, mentor PMs on agile practices, verify releases, and develop technical expertise in models, GIS, geocoding, APIs and related catastrophe risk capabilities while exploring AI-enabled enhancements.
Analytics
Design and build scalable cloud-based analytic applications across the full stack: RESTful .NET services, responsive Angular frontends, AWS-hosted analytics, CI/CD and DevOps automation, performance optimization, and experimentation with AI tools.
