P&C Actuarial Data Analyst
Company: Everest Re Group
Location: Toronto, ON M5X 1C7
Type: Full-time
Posted: 2026-04-08
About this role
Company:
Everest Insurance Company Of Canada
Job Category:
Analytics
Job Description:
About Everest:
Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.
Job Summary:
As a P&C Actuarial Data Analyst, you’ll play a vital role on a collaborative Actuarial team, serving as the bridge between raw data and meaningful analysis.
In this role, you’ll ensure the accuracy, completeness, and integrity of the data that fuels pricing, reserving, and strategic decision‑making. You’ll work hands‑on with large, complex datasets—premium and claims bordereaux, policy and claims system extracts, and data from manual or disparate sources—transforming them into clean, reliable, analysis‑ready information. If you enjoy being the “data detective” behind smart business decisions, this is a role where you can truly make an impact.
This is a hybrid position based in Toronto.
Responsibilities include but are not limited to:
- Clean, validate, and reconcile large, complex datasets to identify errors, inconsistencies, and missing information across multiple data sources
- Process, map, and standardize incoming premium and claims bordereaux from various partners
- Investigate and resolve bordereau discrepancies by collaborating closely with underwriting and operations teams
- Provide data support for monthly, quarterly, and annual actuarial reporting
- Act as a data investigator, identifying anomalies, tracing issues to their source, determining root causes, and recommending remediation solutions
- Manipulate, aggregate, and transform large volumes of data using advanced Excel, Power Query, and related tools to prepa...