Waymo is the self-driving technology company with a mission to make it safe and easy for people and things to move around. Building on software and sensor technology developed at Google, Waymo is now launching the world’s first fully self-driving transportation service that will take members of the public from A to B at the touch of a button.

At Waymo Insurance, you will work on the cutting edge of emerging risk and related issues surrounding our transformational autonomous vehicle technology and help drive our business lines forward from technology ideation through scaled commercial deployment. We partner with our legal, public policy, safety, security and privacy experts to evaluate and manage risks for the self-driving world to come, advising on insurance trends, evaluating and quantifying product liability, auto, cyber and related risks to ensure we build the appropriate risk and insurance frameworks to support and protect our users around the world. We collaborate with our business development, product partnership, strategy and operations teams in the execution of our business plans to ensure the company's interests are well protected from existing, new and emerging risks. We support the legal, policy and regulatory teams as they optimize our exposure in line with our risk appetite through the review of contracts, evaluation and shaping of emerging law and regulation at both the state and federal level. And we anticipate, quantify and mitigate emerging risk by maintaining active relationships and frequent contact with insurance and AV industry partners.

In this role, you’ll: 

• Compile and cleanse data in preparation for actuarial analyses using scripting languages such as R, SQL and Python
• Work with large, complex datasets from various sources to draw analytical insights
• Apply quantitative methods as needed to solve challenging problems
• Take ownership of end-to-end analysis from data gathering, processing, analyzing, deliverables, and presentations
• Work with cross-functional teams to identify interesting questions and communicate findings

At a minimum we’d like you to have: 

• Advanced degree in Statistics, Math, Actuarial Science or other Quantitative area
• Coding fluency in R or Python and SQL 
• Ability to work independently and work cross-functionally in collaboration with others
• Excellent written & verbal communication skills
• Proficiency in various analytical tools (e.g. Google Sheets, Microsoft Excel, etc.)

It’s preferred if you have: 

• Strong background in statistics 
• Strong coding skills
• ACAS or close to ACAS