Senior Actuarial Analyst

Lyft; New York (NY); Hybrid; USD 128,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off

Parental leave

Lyft credits

Job summary

Lyft is seeking an actuary to develop robust data pipelines, build dashboards, and advise on pricing challenges across Engineering, Data Science, Operations, and Finance. The role focuses on actuarial analysis, data governance, and cross-team collaboration in a dynamic, hybrid NYC environment.

You will work on reserving, pricing projects, and competitive analyses, while supporting the financial reporting process and ongoing career development within the actuarial field.

Qualifications

• Bachelor or equivalent degree in Actuarial Science, Math, Statistics, Economics, or similar.
• 3+ years of relevant internships or entry-level experience in P&C actuarial field; FCAS support planned.
• Very strong SQL; experience with ETL and R/Python; coding/automation interest.

Responsibilities

• Assist in developing robust ETL pipelines and maintaining actuarial data for analysis.
• Design and build data monitoring dashboards to drive data insights
• Collaborate on modeling, reserving, pricing projects across cross-functional teams
• Contribute to process changes to promote prompt, accurate data sharing
• Support financial reporting with key actuarial inputs and analysis
• Support competitive analysis with financial statements and industry papers
• Collaborate with cross-functional teams to ensure timely task completion
• Take ownership of assigned tasks and drive insightful analysis

Skills

SQL

ETL

R/Python

GitHub

Communication

Education

Bachelor or equivalent in Actuarial Science/Math/Statistics/Economics

Tools

ETL pipelines

GitHub

Job description

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

At Lyft, actuaries are more than risk modelers, they are trusted business advisors, with a key voice in our most important decisions. We partner with many groups across the organization to work on core products. Get ready to deploy your actuarial skills in innovative ways and team up with Engineering, Data Science, Operations, Finance, Legal, and Public Policy to solve complex pricing challenges. Our insurance solutions are evolving and the team is growing.

We can’t wait to meet you!

Responsibilities

• 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

Experience

• Bachelor or equivalent degree in Actuarial Science, Math, Statistics, Economics, or similar
• 3+ 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
• Working knowledge with Github
• Experience or knowledge in reserving / pricing 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

Benefits

• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. 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, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. 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, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the New York City area is $128,000 - $160,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.