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Added 10 mins ago
IT Business Analyst, Data & Business Intelligence - ASL Distribution (Oakville)
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Senior Actuarial Analyst
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Lyft

Senior Actuarial Analyst

Toronto, ON, Canada

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Job details

Posting language: English
Posted: Nov 2, 2026

Original 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:

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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More about this job

Responsibilities

Develop and maintain actuarial data pipelines and monitoring dashboards, and collaborate across teams on modeling, reserving, and pricing projects. Provide actuarial analysis for financial reporting and competitive research, while supporting accurate data processes and timely completion of assigned work.

Requirements

A bachelor's degree or equivalent in actuarial science, mathematics, statistics, economics, or a similar field is required, along with at least 3 years of relevant internship or entry-level P&C actuarial experience and personal or commercial auto insurance experience. Candidates should have very strong SQL skills, working knowledge of GitHub, and strong communication and organizational abilities; ETL, R/Python, coding automation, reserving, pricing, and financial statement analysis experience are advantageous.

Skills

Actuarial Analysis
SQL
ETL Pipelines
Data Monitoring Dashboards
R
Python
GitHub
Data Analysis
Reserving
Pricing
Financial Reporting
Competitive Analysis
Financial Statement Analysis
Auto Insurance
Communication
Time Management

Benefits

Extended Health Coverage
Dental Coverage
Life Insurance
Disability Benefits
Mental Health Benefits
Family Building Benefits
Child Care Benefits
Pet Benefits
Health Care Savings Account
RRSP With Company Match
Flexible Paid Time Off
Paid Parental Leave
Subsidized Commuter Benefits
Lyft Ride Credits
Continuing Education Support

Visa sponsorship

Not detected in the job text

Keywords

Actuarial Science
Property And Casualty Insurance
Auto Insurance
SQL
ETL
R
Python
GitHub
Data Pipelines
Data Monitoring
Dashboards
Actuarial Data
Modeling
Reserving
Pricing
Financial Reporting
Competitive Analysis
Financial Statements
Insurance Company Filings
Schedule P
Data Analysis
Automation
Cross-Functional Collaboration
Exam Preparation
FCAS

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