Build actuarial data solutions at Lyft using robust 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.
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📌 Senior Actuarial Data Analyst Toronto
🏢 Lyft
📍 Toronto