Senior Actuarial Analyst
Lyft
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This role on the market
66 open actuarial roles across 14 companies are on ApplySarthi right now, most of them in Delhi NCR (8), Pune (1).
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What actuarial roles keep asking for: Python (33%), SQL (32%), Excel (23%), R (21%), Financial modelling (17%) — counted across their open postings here.
ETL jobs · Python jobs · SQL jobs
Lyft has 152 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for actuarial roles keep coming back to Python, SQL, Excel, R. Practise those questions before you sit with Lyft.
Questions you are likely to be asked
- Why do you want to join Lyft?
- What is your experience with ETL? Tell me one thing you learned the hard way.
- Explain a join or a window function you have used, and why you needed it.
- How would you explain a surprising number to a manager who does not believe it?
- Tell me about an analysis that changed a decision. What did you find?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Senior Actuarial Analyst at Lyft interview free →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:
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan with company match to help save for your future
- In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
- Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
- Subsidized commuter benefits and Lyft ride credits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
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 at least 3 days per week, including 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 Toronto area is CAD $108,000 - CAD $135,000, 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.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
This job fills an existing vacancy.
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Listed on greenhouse · posted 2026-11-02. ApplySarthi collects openings and links to application pages; the role is advertised by Lyft, not by us.