About the Role

We're disrupting the transportation space and growing rapidly in both the U.S. and internationally. This is an excellent opportunity for an intellectually curious actuarial candidate to gain valuable non-traditional actuarial experience, all while working in one of Uber's most critical and fastest-growing divisions. So if you're ready to go deep working on a rewarding set of challenges and if you've got the skills, experience, passion, and a strong team mentality - read on and get in touch!

What You'll Do:

• Deploy traditional actuarial skills and training in new and innovative ways to support Uber's Commercial Auto insurance and other coverages through the estimation of unpaid claims liability
• Contribute to the Quarterly Reserving Process, including data creation and validation, analysis and selections, internal and external communication, as well as financial implementation
• Build detailed claims analysis and data visualization tools to inform accurate IBNR selections and to identify operational opportunities in Uber's business and claims functions
• Work closely with various parties, including insurance finance, data science, claims analytics, and your actuarial peers in the development of analytic process and deliverables
• Communicate/present analysis findings to actuarial management and other internal stakeholders, including claims, accounting, and insurance leaders

Basic Qualifications:

• BA/BS Math, Statistics, Economics, Actuarial Science or Similar
• Candidate with 4+ CAS Exams and a minimum of 3 years of Property & Casualty (P&C) actuarial experience
• Excel skills, proficient with SQL (or similar querying language)

Preferred Qualifications:

• ACAS/FCAS designation

• Experience with commercial or personal auto insurance

• Motivation to dive into the details of analysis and learn complex topics from first principles and hands-on experience

• Great communication and organization skills, ability to multitask and be a team player

• Balance attention to detail with swift and practical execution

• Drive to learn complex topics

• Experience working cross functionally with claims and finance

• Experience with R, Python, or similar coding languages

• Reserving experience, reinsurance a plus

• Experience with Arius, ResQ, or other Reserving software a plus

• Enthusiasm about Uber!

• For New York, NY-based roles: The base salary range for this role is USD**$131,000 per year**

• USD**$145,500 per year**.

• For San Francisco, CA-based roles: The base salary range for this role is USD**$131,000 per year**

• USD**$145,500 per year**.

• For Seattle, WA-based roles: The base salary range for this role is USD**$118,000 per year**

• USD**$131,000 per year**.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.