Actuarial Consultant | Insurance Risk Analyst

Role overview

Key responsibilities

• Analyze insurance risk, financial performance, portfolio characteristics, claims, premiums, exposures, and underwriting results.
• Develop and maintain models for pricing, reserving, forecasting, capital, and risk assessment.
• Assess profitability, claims development, reserves, technical provisions, assumptions, and actual-versus-expected experience.
• Conduct scenario, sensitivity, and stress testing; assess relevant insurance risks and portfolio concentrations.
• Support pricing and product development, underwriting guidelines, capital modeling, solvency, and regulatory or audit work.
• Prepare reports, presentations, dashboards, and business recommendations from actuarial findings.
• Document and validate models, test data quality, investigate inconsistencies, and improve analytical methods.
• Collaborate with underwriting, claims, finance, risk, product, and business-development teams.

Required qualifications

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, Economics, or a related quantitative discipline.
• Proven experience in actuarial consulting, insurance risk analysis, pricing, reserving, valuation, or related work.
• Strong understanding of insurance products, underwriting, claims, and risk management.
• Strong actuarial, statistical, financial modeling, and risk-assessment knowledge.
• Experience developing or applying actuarial models for pricing, reserving, forecasting, or risk analysis.
• Strong Microsoft Excel proficiency and experience analyzing claims, exposure, premium, loss, and policyholder data.
• Knowledge of probability, statistics, predictive modeling, quantitative analysis, actuarial standards, and regulatory requirements.
• Familiarity with scenario analysis, stress testing, sensitivity analysis, and risk modeling.

Preferred skills and credentials

• R, Python, SAS, SQL, or equivalent tools are advantageous.
• Insurance capital, solvency, and risk-based capital knowledge is preferred.
• Professional actuarial qualification or progress toward FIA, FSA, ASA, IFoA, SOA, or equivalent is advantageous.
• Experience advising insurance clients, predictive analytics, or machine learning is beneficial.

What the employer offers

• Competitive salary and comprehensive employee benefits; salary amount and payment cadence are not specified.
• Complex actuarial and insurance-risk projects, professional development, actuarial training, and examination support.
• Exposure to diverse products, portfolios, experienced specialists, and opportunities to grow modeling and analytical capabilities.