Risk Analytics Expert (Remote)

Zesty.ai
Canada & USA
Remote

Who this role is best for

A natural match if you have P&C insurance analytics experience and a background in AI-assisted workflows.

Best fit for

  • Candidates with 5+ years in P&C insurance analytics and a history of managing client deliverables
    — “A track record of owning client deliverables and delivering on deadline”
  • Individuals experienced in using AI tools for analysis and research, and packaging repeatable workflows
    — “Build AI-assisted workflows that speed up research, analysis and deliverables, and package repeatable work so the whole team can reuse it”
  • Professionals who can translate complex modeling metrics into client-facing insights
    — “Hands-on model validation experience: lift charts, Gini and loss ratio relativities, and explaining what they mean to a non-technical buyer”

Things to consider

  • The role requires strong cross-functional project management with client teams.
    — “Manage client facing projects from conceptualization to realization within cross-functional client teams”
  • Candidates must be prepared to advise on regulatory processes and actuarial strategies.
    — “Advise prospects on how to navigate the regulatory filing process associated with ZestyAI’s products”

How to stand out

  • Highlight experience with lift charts and loss ratio relativities in your resume.
    — “Hands-on model validation experience: lift charts, Gini and loss ratio relativities”
  • Emphasize your ability to translate complex analytics into clear client recommendations.
    — “Present results with clear recommendations to actuarial and underwriting leaders”
  • Showcase AI tool usage for analysis and workflow automation in your portfolio.
    — “Daily use of AI tools (Claude, ChatGPT, Copilot or similar) for analysis, research and writing”
  • Demonstrate your ability to lead discovery sessions and align client needs with product offerings.
    — “Lead discovery sessions to uncover client needs and use cases”
  • Include examples of managing end-to-end pilots or PoCs with carrier loss data.
    — “Design and run Pilots and PoCs end to end: sampling design, joining carrier loss data”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful client implementations
  • accurate and timely data analysis
Typical background
insurance analyticsactuarial science

Skills & requirements

Required

P&C Insurance AnalyticsModel ValidationSQL And PythonAI ToolsRate Filings Knowledge

Preferred

SAP Knowledge

Stack & domain

SQLPythonAIBigQueryCommunicationProblem SolvingTeamworkInsuranceRisk Management

About the role

Original posting from Zesty.ai

Risk Analytics Expert (Remote, Canada & USA)

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 etc., 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.

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 our 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 their key differentiators versus legacy approaches and competing offerings

Manage client facing projects from conceptualization to realization within cross-functional client teams to ensure that deliverables are on time, accurate, and exceed client 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, and map them back to the ZestyAI product offering through real-time problem solving

Build AI-assisted workflows that speed up research, analysis and deliverables, and package repeatable work so the whole team can reuse it

What You Bring to the ZestyAI Team

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: multi-step workflows, prompts or reusable skills, and connecting tools to data sources

Familiarity with AI regulation in insurance, such as the NAIC AI Model Bulletin and Colorado SB21-169 unfair discrimination testing

Catastrophe or climate modeling background (RMS, Verisk, KCC or similar)

Geospatial analysis (ArcGIS, QGIS, GeoPandas, H3)

Sales engineering, pre-sales, or SaaS customer-facing experience

Experience running or supporting vendor evaluations, ideally from the carrier side

BI tools such as Looker, Power BI or Tableau

Why ZestyAI:

Be part of a well-funded growth-stage company

Work culture that fosters individual development with leaders committed to your professional growth

Do what you love from a place that you love with Remote work environment

Market competitive comp and equity incentives to give you a stake in our future

Comprehensive health care plan 

Flexible Time Off 

An upbeat and collaborative team (bunch of smart people who like to win together)

Company-sponsored outings and offsites

Source: Zesty.ai careers

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