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ZestyAI·

Risk Analytics Expert - ZestyAI

Fully remoteFull-timeSeniorUTC-8–-4Americas#Python#SQL#machine learningEquityHealthPTO

About ZestyAI

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of risk modeling continue to paint at best an incomplete picture of these threats.

ZestyAI ingests novel data sources such as high-resolution aerial imagery, building permits, real estate transaction data, and leverages Artificial Intelligence (AI) to produce unique insights about risks to properties and communities from natural catastrophes like wildfire, hail, wind, and water, along with property characteristics like roof condition and age. ZestyAI provides property and casualty insurers valuable intelligence that helps them, and the communities they serve, better prepare for and navigate catastrophes.

The Role

As a Risk Analytics Expert, you thrive in a collaborative and solution-oriented culture. You enjoy working with cutting-edge data-driven products and finding ways to help customers and prospects understand and realize value from these products. You are a pacesetter who wants to set the standard; you are organized, self-directed, and committed to innovation. More importantly, you can solve the complexities of Property and Casualty insurance analytics while also advising clients on optimizing their implementation strategy around the usage of ZestyAI's products.

What You'll Do

  • Enable sales and customer success by leading demonstrations and technical product overviews of ZestyAI’s analytics and software capabilities.
  • Advise prospects on how to navigate the regulatory filing process associated with ZestyAI’s products by working and owning the relationship with actuarial consultants.
  • Design and run Pilots and PoCs end to end: sampling design, joining carrier loss data, lift and loss ratio analysis, and presenting results with clear recommendations to actuarial and underwriting leaders.
  • Become the team’s expert on ZestyAI solutions, including key differentiators versus legacy approaches and competing offerings.
  • Manage client-facing projects from conceptualization to realization within cross-functional client teams to ensure deliverables are on time, accurate, and exceed expectations.
  • Deliver insights and user feedback to ZestyAI’s Product team to build the next generation of product.
  • Lead discovery sessions to uncover client needs and use cases, mapping them back to the ZestyAI product offering through real-time problem-solving.
  • Build AI-assisted workflows that speed up research, analysis, and deliverables, packaging repeatable work for team reuse.

What You Bring

  • 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, with the ability to explain them to non-technical buyers.
  • Proficiency in 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 validate outputs.
  • 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 executive leadership.
  • Demonstrated track record of owning client deliverables and meeting deadlines.

Nice to Have

  • Experience building with AI agents or automations: multi-step workflows, prompts, or reusable skills, and connecting tools to data sources.
  • Familiarity with AI regulation in insurance (e.g., NAIC AI Model Bulletin and Colorado SB21-169 unfair discrimination testing).
  • Catastrophe or climate modeling background (RMS, Verisk, KCC, or similar).
  • Geospatial analysis experience (ArcGIS, QGIS, GeoPandas, H3).
  • Sales engineering, pre-sales, or SaaS customer-facing experience.
  • Experience running or supporting vendor evaluations, ideally from the carrier side.
  • Proficiency with BI tools such as Looker, Power BI, or Tableau.

Benefits

  • Equity incentives offering a stake in company growth.
  • Comprehensive health care plan.
  • Flexible Time Off.
  • Work in a remote work environment.
  • Company-sponsored outings and offsites.

Timezone overlap

UTC-8–-4

Benefits

Equity, Health, PTO

Open to

NA

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