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Risk Analytics Expert (Remote)

Data Analyst Full-time Permanent Canada and United States

Job details

Not specified Salary
Canada and United States Eligibility
Lead Experience
Full-time Employment

About this role

Role overview

Help property and casualty insurers evaluate and apply analytics for risks such as wildfire, hail, wind, and water damage. This client-facing role combines insurance expertise, quantitative analysis, product demonstrations, and implementation guidance, translating model results into practical recommendations for actuarial and underwriting teams.

Responsibilities

- Lead product demonstrations and technical discussions with prospective and existing customers, supporting sales and customer success. - Plan and run pilots and proofs of concept, including sampling, joining insurer loss data, and evaluating lift and loss ratios. - Present findings and clear recommendations to actuarial, underwriting, and other customer stakeholders. - Advise on regulatory filing processes and coordinate with actuarial consultants. - Lead customer projects from initial discovery through delivery, managing timelines, accuracy, and cross-functional collaboration. - Bring customer needs and product feedback to internal product teams, and develop reusable AI-assisted workflows for research and analysis.

Requirements

- Bachelor’s degree in a quantitative field such as actuarial science, statistics, economics, engineering, or data science. - At least five years in P&C insurance analytics, actuarial work, underwriting, insurance product roles, or a vendor serving insurers. - Practical experience validating models with measures such as lift charts, Gini, and loss ratio relativities, and explaining results to nontechnical audiences. - Ability to use SQL and Python with large datasets, using BigQuery or a comparable platform. - Working knowledge of rate filings, class plans, and how insurers use third-party data in pricing and underwriting. - Strong client communication, data storytelling, and project ownership, including delivering work on deadline. - Regular use of AI tools for analysis, research, or writing, with the judgment to verify their output.

Nice to have

Experience with AI agents or workflow automation, insurance AI regulation, catastrophe or climate models, geospatial tools, sales engineering, vendor evaluations, or BI platforms such as Looker, Power BI, or Tableau.

Benefits and work setup

This is a remote role available in Canada and the United States. The package includes equity incentives, health coverage, flexible time off, and company-sponsored outings or offsites.

Skills detected in the listing

PythonSQLPower BITableauLooker
Detected Oct 17, 2026
Last verified Nov 1, 2026

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