You will:

• Drive End-to-End Actuarial Analyses: Take full ownership of end-to-end analyses—from data gathering, cleansing, and modeling to delivering actionable presentations—managing projects from framing through to impact with minimal oversight.


• Advance Pricing & Reserving Models: Independently build, maintain, and refine commercial auto pricing and reserving models to quantify expected losses and support Waymo's insurance and risk-financing strategies.


• Champion Automation & AI Tooling: Proactively modernize and automate actuarial workflows, adopting AI-assisted coding, analytical tools, and programmatic data pipelines to scale team leverage.


• Quantify Autonomous Driving Risks: Develop innovative quantitative metrics and methodologies to quantify novel risks and benchmark the safety performance of the Waymo Driver.


• Build Scalable Data Pipelines: Extract, curate, and cleanse large, complex datasets from internal and external sources using scripting languages such as R, Python, and SQL.


• Collaborate Cross-Functionally: Partner closely with Safety, Engineering, Product, Legal, and Finance to translate complex business and technical questions into tractable actuarial problems and deliver clear risk insights.


• Institutionalize Best Practices: Establish reproducible modeling standards, document automated pipelines, and mentor teammates on modern actuarial and technical practices.

You have:

• FCAS (Fellow of the Casualty Actuarial Society) strongly preferred. ACAS will be considered for exceptional candidates with standout technical and domain depth.


• Strong commercial instincts with a proven ability to translate ambiguous business problems into structured technical analyses, synthesize findings, and provide high-impact risk insights.


• Highly experienced actuary with a proven track record in casualty pricing, reserving, or risk modeling (commercial auto / transportation lines strongly 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 degree in Actuarial Science, Statistics, Mathematics, Data Science, Economics, or a related quantitative field.


• Strong predisposition toward process automation and proven ability to rapidly learn, adapt, and leverage new AI tools, software libraries, and modern analytical platforms.


• Proven ability to scope ambiguous problems, research solutions, and execute independently with a "fire-and-forget" level of reliability.


• Exceptional ability to articulate complex quantitative findings and risk trade-offs clearly to technical, non-technical, and executive stakeholders alike.

We prefer:

• Fully credentialed FCAS.


• Advanced degree (MS / PhD) in Statistics, Data Science, Quantitative Finance, or a related field.


• Hands-on experience integrating modern AI/LLM tools, machine learning libraries, or advanced statistical modeling into actuarial or insurance data workflows.


• CERA (Chartered Enterprise Risk Analyst) designation or extensive ERM framework experience.


• Demonstrated experience modeling risk for autonomous vehicles, rideshare fleets, novel mobility concepts, or complex commercial auto programs.


• Travel Requirements: 5%.


• Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.