Risk Analytics Expert (Remote)

Zesty.ai•Oakland, CA

1d•Remote

About The Position

ZestyAI uses novel data sources, including high-resolution aerial imagery, building permits, and real estate transaction data, alongside artificial intelligence to provide insights about property and community risks from natural catastrophes and property characteristics. Its analytics help property and casualty insurers and the communities they serve prepare for and navigate catastrophes. The Risk Analytics Expert helps prospects and customers understand and realize value from ZestyAI’s analytics and software. The role combines expertise in property and casualty insurance analytics with client advice on implementation strategies. It works collaboratively across client and internal teams, supports sales and customer success, leads analytical pilots and proofs of concept, and provides feedback to the Product team. The position is remote in Canada and the USA.

Requirements

Bachelor’s degree in a quantitative field such as actuarial science, statistics, economics, engineering, or data science, or a similar field.
At least 5 years of experience 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, and explaining their meaning to non-technical buyers.
Ability to write SQL and Python against large datasets, using 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 incorporate third-party data into rating and underwriting.
Strong communication and data storytelling skills for audiences ranging from analysts to the C-suite.
A track record of owning client deliverables and meeting deadlines.

Nice To Haves

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

Responsibilities

Lead demonstrations and technical product overviews of ZestyAI’s analytics and software capabilities to support sales and customer success.
Advise prospects on the regulatory filing process associated with ZestyAI’s products, owning relationships with actuarial consultants.
Design and run pilots and proofs of concept 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, including their differentiators versus legacy approaches and competing offerings.
Manage client-facing projects from conceptualization through realization within cross-functional client teams, ensuring timely, accurate deliverables that exceed client expectations.
Deliver insights and user feedback to ZestyAI’s Product team to inform future product development.
Lead discovery sessions to uncover client needs and use cases and map them to ZestyAI’s products through real-time problem solving.
Build AI-assisted workflows to accelerate research, analysis, and deliverables, and package repeatable work for team reuse.