Risk Analytics Expert
New
Z
ZestyAIP&C insurance analytics
Remote (Canada & USA)Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years in P&C insurance analytics, actuarial, underwriting, product, or a vendor role serving carriers
- Required Skills
- PythonSQLBigQuery
Requirements
- Bachelor’s degree in a quantitative field such as actuarial science, statistics, economics, engineering, or data science.
- 5+ years in P&C insurance analytics, actuarial, underwriting, product, or a vendor role serving carriers.
- Hands-on model validation experience, including lift charts, Gini, and loss ratio relativities.
- Ability to explain model validation results to non-technical buyers.
- Comfort writing SQL and Python against large datasets.
- Experience with BigQuery or a similar platform.
- Daily use of AI tools such as Claude, ChatGPT, or Copilot for analysis, research, and writing, with judgment to verify their output.
- Working knowledge of rate filings, class plans, and how carriers bring third-party data into rating and underwriting.
- Strong communication and data storytelling skills for audiences ranging from analysts to the C-suite.
- Track record of owning client deliverables and delivering on deadline.
- Nice to have: Experience building AI agents or automations, including multi-step workflows, prompts, reusable skills, and connections to data sources.
- Nice to have: Familiarity with insurance AI regulation, including the NAIC AI Model Bulletin and Colorado SB21-169 unfair discrimination testing.
- Nice to have: Catastrophe or climate modeling experience, such as RMS, Verisk, or KCC.
- Nice to have: Geospatial analysis experience with ArcGIS, QGIS, GeoPandas, or H3.
- Nice to have: Experience in sales engineering, pre-sales, SaaS customer-facing work, vendor evaluations, or BI tools such as Looker, Power BI, or Tableau.
Responsibilities
- Lead demonstrations and technical product overviews of ZestyAI’s analytics and software capabilities.
- Advise prospects on regulatory filing processes, coordinating with actuarial consultants.
- Design and run pilots and proofs of concept, including sampling design, joining carrier loss data, and lift and loss ratio analysis.
- Present pilot results and recommendations to actuarial and underwriting leaders.
- Build expertise in ZestyAI solutions and their differentiators from legacy approaches and competing offerings.
- Manage client-facing projects and cross-functional client teams to deliver accurate work on time.
- Share insights and user feedback with the Product team.
- Lead discovery sessions to identify client needs and map use cases to ZestyAI products.
- Build AI-assisted workflows and package repeatable work for team reuse.
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