Build actuarial data solutions at Lyft using strong SQL, ETL pipelines, and monitoring dashboards in a hybrid Toronto work model. Your analysis will support insurance decisions.

As a Senior Actuarial Analyst, you will partner with Engineering, Data Science, Operations, Finance, Legal, and Public Policy. You will contribute to modeling, reserving, pricing, financial reporting, and competitive analysis. The position supports evolving insurance solutions through accurate actuarial data and insightful analysis.

Key Responsibilities:

- Develop robust ETL pipelines for actuarial analysis
- Maintain complete and accurate actuarial data
- Design dashboards that monitor data and drive insights
- Support modeling, reserving, and pricing projects
- Provide actuarial inputs for financial reporting

Requirements:

- Bachelor’s degree in actuarial science, mathematics, statistics, economics, or similar
- Three-plus years of relevant internships or entry-level P&C; actuarial experience
- Personal or commercial auto insurance experience
- Very robust SQL with ETL and R or Python experience preferred
- Working knowledge of GitHub

Apply actuarial judgment, SQL, and data analysis to Lyft’s insurance solutions from its Toronto hybrid team.

📌 Senior Actuarial Data Analyst (Toronto)
🏢 Lyft
📍 Toronto