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