Reserving Actuarial Analyst
C
Coalition, Inc.Insurance Insurtech
Any location, CanadaFull-TimeMiddle
Salary98,600 - 140,000 CAD per year
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Job Details
- Experience
- 4+ years of P&C actuarial experience
- Required Skills
- PythonSQLMicrosoft ExcelR
Requirements
- 4+ years of P&C actuarial experience, with direct or strong exposure to reserving.
- Progress toward ACAS/FCAS through successful completion of multiple actuarial exams and an interest in continuing that journey.
- Bachelor’s degree in actuarial science, mathematics, computer science, statistics, or a related quantitative field.
- Strong Excel experience for building and maintaining actuarial models, summaries, and analyses.
- Experience working with large datasets; familiarity with tools such as SQL, R, or Python to manipulate and analyze data.
- Experience working in a fast-paced environment, with a track record of managing multiple projects and meeting target dates without sacrificing quality.
- Clear and concise communication skills, including experience presenting technical results to both actuarial and non-actuarial audiences.
- High attention to detail, with a focus on accuracy, documentation, and reproducibility of analyses.
Responsibilities
- Perform quarterly reserve analyses and profit share analyses using standard actuarial methodologies to support accurate booked reserves and financial reporting.
- Extract, transform, and analyze large datasets to build and maintain reserving exhibits, reserve triangles, and monitoring dashboards.
- Partner with Claims, Finance, Underwriting, and other teams to understand loss drivers, identify emerging trends, and assess their impact on reserves.
- Assist in refining reserving methodologies, assumptions, and governance processes to strengthen consistency, transparency, and control.
- Prepare clear actuarial reports and presentations for senior management, regulators, and external stakeholders, highlighting key findings and recommendations.
- Contribute to process improvements and automation initiatives that make reserving analyses more efficient, repeatable, and scalable.
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