Risk Analytics Expert

Job Description: • Enable sales and customer success by leading demonstrations and technical product overviews of ZestyAI’s analytics and software capabilities • Advise prospects on navigating the regulatory filing process associated with ZestyAI’s products and own relationships with actuarial consultants • Design and run pilots and proof-of-concepts end to end, including sampling design, joining carrier loss data, lift and loss ratio analysis, and presenting recommendations to actuarial and underwriting leaders • Become the team’s expert on ZestyAI solutions and their differentiators versus legacy approaches and competing offerings • Manage client-facing projects from conceptualization to realization within cross-functional client teams, ensuring timely and accurate deliverables • Deliver insights and user feedback to ZestyAI’s Product team • Lead discovery sessions to uncover client needs and use cases and map them to ZestyAI’s product offering • Build AI-assisted workflows to accelerate research, analysis, and deliverables and package repeatable work for team reuse Requirements: • Bachelor’s degree in a quantitative field (actuarial science, statistics, economics, engineering, data science or similar) • 5+ years in P&C insurance analytics, actuarial, underwriting, product, or a vendor role serving carriers • Hands-on model validation experience: lift charts, Gini and loss ratio relativities, and explaining what they mean to a non-technical buyer • Comfortable writing SQL and Python against large datasets (BigQuery or similar) • Daily use of AI tools (Claude, ChatGPT, Copilot or similar) for analysis, research and writing, with the judgment to check what they produce • Working knowledge of rate filings, class plans, and how carriers bring third-party data into rating and underwriting • Strong communication and storytelling with data, from analysts to the C-suite • A track record of owning client deliverables and delivering on deadline • Nice-to-have: Experience building with AI agents or automations • Nice-to-have: Familiarity with AI regulation in insurance, such as the NAIC AI Model Bulletin and Colorado SB21-169 unfair discrimination testing • Nice-to-have: Catastrophe or climate modeling background (RMS, Verisk, KCC or similar) • Nice-to-have: Geospatial analysis (ArcGIS, QGIS, GeoPandas, H3) • Nice-to-have: Sales engineering, pre-sales, or SaaS customer-facing experience • Nice-to-have: Experience running or supporting vendor evaluations • Nice-to-have: BI tools such as Looker, Power BI or Tableau Benefits: • Be part of a well-funded growth-stage company • Work culture that fosters individual development with leaders committed to your professional growth • Remote work environment • Market competitive comp and equity incentives to give you a stake in our future • Comprehensive health care plan • Flexible Time Off • Company-sponsored outings and offsites