Actuarial Analyst

The Role & What You’ll Do

• Assisting with statistical and regulatory reporting, including data preparation, validation, and creation of standard exhibits for actuarial and financial reports.
• Preparing components of quarterly actuarial reports, including reconciliations between actuarial and financial systems and other supporting schedules.
• Performing large claim reviews and basic modeling analyses to support reserve studies and management reporting.
• Supporting pricing analysis and rate filings by organizing data, exhibits, and documentation for internal and regulatory audiences.
• Assisting with reinsurance submissions by compiling exposure, loss, and premium data and helping prepare related reports and exhibits.
• Completing ad hoc analytical projects and regulatory requests for underwriting, claims, actuarial leadership, and other stakeholders.
• Performing data quality checks, documenting data sources and report logic, logging issues, and helping test fixes to improve actuarial processes and tools.
• Collaborating with actuarial leadership, underwriting, claims, finance, and others to understand analytical needs, prepare summary tables and visuals, and respond to routine questions about standard actuarial reports and dashboards.

Required qualifications

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related quantitative field.
• 0–2 years of experience in an analytical, actuarial, data, or reporting role (internships and co-ops accepted).
• Proficiency in Microsoft Excel and foundational experience working with data.
• Strong analytical and problem-solving skills, with high attention to detail and comfort validating results and double-checking numbers.
• Able to organize work, manage multiple tasks, and meet deadlines, with strong written and verbal communication skills.

Preferred qualifications & strengths

• Successful completion of at least one actuarial exam (SOA or CAS) and active pursuit of an actuarial designation.
• Exposure to tools like SQL, R, or Python for data manipulation and analysis.
• Curiosity about insurance operations, workers' compensation, and how business processes impact data and analysis.
• Demonstrated learning mindset, adaptability, critical thinking, initiative, and ownership of tasks.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders and collaborate effectively across teams.