Actuarial Analyst | Underwriting Assistant

Role overview

Responsibilities

• Analyze insurance data and assess new and existing insurance business; review applications, customer details, claims history, and supporting documents.
• Help underwriters evaluate risk characteristics, coverage requirements, policy conditions, terms, limits, deductibles, and classifications; follow up on missing application information.
• Collect, clean, validate, and organize internal and external data; perform statistical and financial analyses to identify trends and risk factors.
• Support pricing, rate reviews, profitability assessments, and analysis of loss ratios, claim frequency and severity, and portfolio performance.
• Prepare actuarial models, spreadsheets, reports, analytical summaries, and dashboards; monitor underwriting results, exposure, and concentration risk.
• Research insurance markets, industry developments, competitors, and products; support underwriting recommendations, renewals, and risk assessments.
• Maintain accurate policy and analysis records; assist with forecasting, projections, scenario analysis, and data quality controls.
• Contribute to workflow improvement and automation; support product development and portfolio optimization; collaborate across claims, finance, risk, product, and operations.
• Ensure work follows internal policies, underwriting guidelines, and applicable regulatory requirements.

Requirements

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, Insurance, or a related discipline.
• Prior experience in actuarial analysis, underwriting support, insurance operations, or risk analysis is preferred.
• Strong mathematical, statistical, and analytical abilities; good understanding of insurance principles, risk assessment, and underwriting processes.
• Familiarity with actuarial concepts, insurance pricing, claims analysis, and portfolio performance.
• Strong attention to detail; able to identify inconsistencies and analyze large datasets into meaningful business insights.
• Microsoft Excel proficiency, including formulas, pivot tables, data analysis, and reporting.
• SQL, R, Python, SAS, or similar analytical tools are advantageous.
• Clear written and verbal communication; able to prepare analytical reports and presentations.
• Strong organization, teamwork, and ability to manage deadlines and work accurately under pressure.
• Integrity when handling confidential information; willingness to learn actuarial methods, underwriting practices, and regulations.
• Progress toward actuarial examinations, insurance qualifications, and experience with insurance systems or actuarial software are advantages.

What the employer offers

• Competitive salary and comprehensive employee benefits; no salary amount or pay cadence is specified.
• Professional training, exposure to pricing, risk assessment, claims analytics, and portfolio management, and support for actuarial development and examination progression.
• Work with experienced actuaries and underwriters in a collaborative environment, with learning, career progression, and participation in analytics, product development, and business improvement projects.