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Actuarial Analyst, Reserving & Forecasting

Alberta Motor Association
Edmonton, CAN
Full-time
Onsite
Discovered 1 months ago
Actuarial reserving analysisReserving methodsProperty and casualty insuranceData processing, cleansing, and validationClaims trend analysisActuarial assumptions and methodologies

Full Job Posting

Opportunity

AMA Insurance seeks an Actuarial Analyst, Reserving & Forecasting.

The role supports financial decisions through reserving analysis, financial forecasting, capital planning, and the annual reinsurance cycle.

Works with teams across AMA Insurance, Finance, Risk, and Underwriting.

Reports to the Supervisor, Business Analysis.

Candidate profile

  • Solid understanding of reserving methods and property and casualty insurance.
  • Analytical approach to solving complex problems using data.
  • Comfort working with large datasets, investigating anomalies, and ensuring data integrity.
  • Able to communicate technical findings to technical and non-technical audiences.
  • Organized and process-oriented, with accuracy and deadline management across multiple priorities.
  • Collaborative approach with business leaders and subject matter experts.
  • AI-powered tools such as ChatGPT and Copilot are a plus.

Responsibilities

  • Conduct auto and property reserving analysis and develop IBNR recommendations.
  • Gather, process, cleanse, and validate actuarial data.
  • Update quarterly diagnostic and actual-versus-expected analyses.
  • Apply actuarial assumptions and methodologies, document ultimate selection changes, and present recommendations.
  • Analyze loss trends to inform pricing, product development, and rate-making.
  • Develop claim-cost and revenue forecasts for annual budgeting.
  • Analyze risk-based capital needs and prepare long-term financial stability projections.
  • Support reinsurance renewals with policy-in-force data, premium forecasts, and responses to requests.
  • Analyze reinsurance and catastrophe exposure, including storm, wildfire, and program limit adequacy.
  • Model catastrophe scenarios, premium-growth sensitivity, and capital adequacy.
  • Create predictive models for performance and productivity improvements.
  • Monitor CareFirst performance against targets and deliver cross-functional analytics and insights.

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