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Zurich Insurance

Global insurer providing property, casualty, life

Statistical Reporting Specialist

InsuranceUpdated on Nov 14
Full-timeToronto, ON, Canada$85k - $130k

About the Job

Requirements

  • A Master’s degree in Accounting, Business Administration, or Finance and at least 6 years of experience performing accounting transactions, analysis, and reporting; or a Bachelor’s degree in those fields and at least 8 years of such experience; or a high school diploma or equivalent and at least 10 years of such experience.
  • Experience building cross-functional partnerships and assembling and leading project teams.

Responsibilities

  • Coordinate and continuously improve the preparation, validation, submission, and monitoring of Automobile statistical data, ensuring regulatory requirements and timelines are met.
  • Interpret evolving regulatory requirements and translate them into business rules, data requirements, controls, and reporting approaches.
  • Lead root-cause analysis across source systems, vendor input extracts, transformations, and regulatory outputs, including error correction, historical remediation, and resubmissions.
  • Reconcile data, investigate issues, and validate regulatory outputs using knowledge of input extracts, data lineage, and mapping logic.
  • Partner with Claims, Underwriting, Finance, IT, and external vendors to investigate data-quality issues and support system, data, and process improvements.
  • Identify control and process gaps and implement solutions that prevent recurring errors and strengthen data quality.
  • Develop and monitor KPIs and KRIs using reconciliation, variance, and trend analysis to identify emerging risks and opportunities.
  • Assess customer and business impacts using knowledge of downstream statistical data applications, including MTO, DASH, and Autoplus.
  • Communicate findings, emerging risks, and recommendations to the Statistical Reporting Manager and provide functional guidance and subject-matter expertise to junior analysts.
  • Act as a primary contact for data-quality analysts at GISA, GAA, and other regulatory/statistical bodies, including responding to GISA EWS issues and regulatory inquiries.
  • Maintain functional documentation and apply regulatory and industry insights to support consistent reporting practices.

Desired Qualifications

  • Property and casualty insurance statistical or regulatory reporting experience, particularly Commercial and/or Personal Automobile.
  • Experience with GISA, GAA, and/or FA reporting, including regulatory submissions, remediation, and resubmissions.
  • Strong knowledge of Automobile statistical data, reporting requirements, and data-quality analysis.
  • Experience translating regulatory requirements into business and data requirements.
  • Advanced Microsoft Excel skills.
  • Experience with Guidewire PolicyCenter or ClaimCenter, SQL, business intelligence, or similar data-analysis tools.
  • Knowledge of MTO, DASH, and Autoplus.

About the Company

Zurich Insurance

Global insurer providing property, casualty, life

Zurich Insurance Group provides global multi-line insurance for individuals, families, small and mid-sized businesses, public entities, and multinational corporations in more than 200 countries. Its Property & Casualty arm covers personal lines like car and home, plus a wide range of commercial coverages (property, casualty, motor fleet, marine, construction, energy, financial lines, international programs); its Life business offers protection, savings, retirement, and unit-linked products. The Farmers Group manages Farmers Exchanges in the United States. The company also provides risk engineering and prevention services to help customers reduce risk and build climate resilience, with products sold through agents, brokers, bank partners, and direct channels. Its goal is to provide financial protection and risk management solutions that help customers manage uncertainty and build resilience over the long term.

Company size
10,001+
Company stage
IPO
Headquarters
Zurich, Switzerland
Founded
1872

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