Actuarial Analyst

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

The Actuarial team is an integral part of the decision-making process at Lyft with its important mission of accurately predicting and accounting for risk to make the platform safer. Lyft’s Actuarial team is looking for a strong Actuarial Analyst to join our Actuarial Data & Reporting team.

The Data & Reporting team’s core responsibilities revolve around ensuring risk-related financial data provided to FP&A, Accounting, and Actuarial is complete, accurate, and appropriate. The ideal candidate should have solid insurance and actuarial knowledge, data management skills, and strong communication skills as the person in this position will be communicating internally with Actuarial, Accounting, FP&A, Data Engineering and other teams, as well as external partners such as third-party carriers. This is a unique opportunity in the actuarial world to make a real impact at one of the most exciting companies in the tech world.

• Assist in developing robust ETL pipelines and maintaining complete and accurate actuarial data for analysis.
• Design and build data monitoring dashboards to drive data insights
• Collaborate with cross-functional teams on modeling / reserving / pricing projects
• Contribute to the process changes to promote prompt and accurate data to cross-functional teams
• Support the financial reporting process by providing key actuarial inputs and analysis 
• Support competitive analysis by researching financial statements, insurance company filing (e.g. schedule P) and other industry papers
• Collaborate with cross-functional teams to ensure timely completion of tasks
• Take ownership of the tasks assigned and drive insightful analysis

• Bachelor or equivalent degree in Actuarial Science, Math, Statistics, Economics, or similar 
• At least 3 CAS exams is required 
• 1-2 years of relevant internships, or entry-level experience in P&C actuarial field (flexible scheduling during exam preparation and continuing education support for FCAS; we want to be part of your career development!) 
• Personal or commercial auto insurance experience required 
• Very Strong SQL; experience with ETL and R/Python and an interest in coding/automation is preferred 
• Experience or knowledge in reserving or predictive modeling is a plus 
• Experience with competitive analysis / financial statement analysis a plus
• Great communication and presentation skills 
• Strong organization and time management skills
• Balance attention to detail with fast-pace Lyft environment 
• Passionate about actuarial science and eager to learn and grow 
• Highly innovative

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Pre-tax commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.  

Starting in September 2023, this role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

The expected range of pay for this position in the US is $117,000 - $130,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.