Local Iowa political expert producing point - in - time election forecasts and political - risk analysis. Mercor uses expert data to train and improve frontier AI models.
About the role
- Risk analytics expert helping property and casualty insurers use ZestyAI’s AI-powered catastrophe and property intelligence. Leading product demonstrations, insurance analytics pilots, regulatory guidance, and client implementations.
Responsibilities
- 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
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Iowa political expert authoring election forecasts and political - risk reports for Mercor. Producing point - in - time judgments to train and evaluate frontier AI models.
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