Senior Actuary

Job description

Job responsibilities

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

Job requirements

• 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…