Closer to a modelling-heavy IC than a pricing-underwriting partner because novel risk quantification and automation outweigh live deal support.
Senior P&C actuarial role in Mountain View, California, supporting commercial auto pricing, reserving, and risk modelling for autonomous vehicles. You will own end-to-end analyses, build scalable data pipelines, quantify novel driving risks, and partner with Risk, Safety, Engineering, Product, Legal, and Finance on a hybrid schedule.
Requirements
Strongly preferred
FCAS strongly preferred; ACAS considered for exceptional candidates
Proven track record in casualty pricing, reserving, or risk modeling (commercial auto / transportation lines preferred)
Fluent in R or Python with advanced proficiency in SQL, spreadsheet modeling (Google Sheets / Excel), and data visualization tools
Bachelor's or Master's in Actuarial Science, Statistics, Mathematics, Data Science, Economics, or related quantitative field
Strong predisposition toward process automation and ability to rapidly learn and leverage AI tools and modern analytical platforms
Ability to scope ambiguous problems, research solutions, and execute independently with reliability
Exceptional ability to articulate complex quantitative findings to technical, non-technical, and executive stakeholders
Nice to have
Advanced degree (MS/PhD) in Statistics, Data Science, Quantitative Finance, or related field
Hands-on experience integrating AI/LLM tools, ML libraries, or advanced statistical modeling into actuarial or insurance workflows
CERA designation or extensive ERM framework experience
Experience modeling risk for autonomous vehicles, rideshare fleets, novel mobility concepts, or complex commercial auto programs
Skills & Domain
ToolsExcelPower_BI
DomainCasualty pricing and reservingCommercial auto risk modelingAutonomous vehicle or mobility risk modeling preferred
