Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
As part of Waymo's Legal team, you will work on the exciting legal issues surrounding our transformational autonomous driving technology and help drive our business lines forward from technology ideation through scaled commercial deployment. We partner with our public policy, safety, security and privacy experts to define transportation policy for the autonomous driving world to come, advising on regulatory changes that support and protect our users around the world. We collaborate with our engineering, product, strategy and operations teams to develop and protect our intellectual property portfolio and drive our corporate and commercial transactions. We ensure compliance with an increasingly complex and dynamic range of global regulations. And we anticipate, mitigate, and litigate high-profile and precedent-setting legal matters.
This role follows a hybrid work schedule and reports to the Head of Risk and Insurance
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%
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
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.
Waymo Mountain View, California, USA Office
1600 Amphitheatre Pkwy, Mountain View, CA, United States, 94043
Waymo San Francisco, California, USA Office
San Francisco, United States
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