📊 We’re Hiring: Actuarial Consultant | Insurance Risk Analyst
🕒 Employment Type: Full-Time
💼 Level: Mid-Level to Senior
We are seeking an analytical and commercially minded Actuarial Consultant | Insurance Risk Analyst to provide actuarial analysis, insurance risk assessment, financial modeling, and strategic insights across insurance products and portfolios. This role combines actuarial expertise with risk analytics to support pricing, reserving, capital management, portfolio performance, and informed business decision-making.
🎯 Key Responsibilities• Conduct actuarial analyses to evaluate insurance risks, financial performance, and portfolio characteristics.
• Develop and maintain actuarial models for pricing, reserving, forecasting, capital, and risk assessment.
• Analyze claims experience, loss ratios, premium trends, exposure data, and underwriting performance.
• Assess insurance risks across different products, customer segments, markets, and portfolios.
• Support the development and review of insurance pricing models and assumptions.
• Perform profitability analysis and identify key drivers of underwriting performance.
• Conduct claims and loss-development analysis using historical and projected data.
• Support the calculation and validation of technical provisions, reserves, and expected claims liabilities.
• Analyze frequency, severity, loss development, and other insurance risk indicators.
• Perform experience studies and assess the appropriateness of actuarial assumptions.
• Conduct scenario analysis, sensitivity testing, and stress testing to evaluate potential financial impacts.
• Assess catastrophe, underwriting, mortality, morbidity, longevity, lapse, and other relevant insurance risks where applicable.
• Support capital modeling and solvency assessments.
• Analyze risk-adjusted returns and portfolio risk concentrations.
• Monitor emerging insurance risks and changes in claims or market trends.
• Prepare actuarial reports, risk assessments, management presentations, and analytical summaries.
• Translate complex actuarial results into clear business insights and recommendations for stakeholders.
• Collaborate with underwriting, claims, finance, risk management, product, and business-development teams.
• Support product development by evaluating pricing assumptions, expected profitability, and risk characteristics.
• Review underwriting guidelines and identify opportunities to improve risk selection and portfolio performance.
• Monitor actual versus expected experience and investigate material variances.
• Develop dashboards and reporting tools to monitor key actuarial and insurance-risk indicators.
• Ensure actuarial models, assumptions, methodologies, and analytical processes are properly documented.
• Perform model validation, data checks, and reasonableness testing to ensure analytical accuracy.
• Identify data-quality issues and work with relevant teams to resolve inconsistencies.
• Support regulatory reporting, actuarial reviews, audits, and other governance requirements.
• Maintain awareness of changes in insurance regulations, actuarial standards, market conditions, and industry practices.
• Conduct financial impact assessments for changes in products, assumptions, regulations, or risk-management strategies.
• Recommend improvements to actuarial models, risk controls, data processes, and analytical methodologies.
• Participate in strategic projects involving insurance risk, portfolio optimization, capital, pricing, and business planning.
✅ Requirements• 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 areas.
• Strong understanding of insurance products, underwriting principles, claims processes, and risk management.
• Strong knowledge of actuarial concepts, statistical analysis, financial modeling, and risk assessment.
• Experience developing or applying actuarial models for pricing, reserving, forecasting, or risk analysis.
• Strong proficiency in Microsoft Excel and financial or actuarial modeling techniques.
• Experience with actuarial software, statistical tools, or programming languages such as R, Python, SAS, SQL, or equivalent is advantageous.
• Strong understanding of probability, statistics, predictive modeling, and quantitative analysis.
• Experience analyzing claims, exposure, premium, loss, and policyholder data.
• Knowledge of insurance capital, solvency, and risk-based capital concepts is preferred.
• Familiarity with scenario analysis, stress testing, sensitivity analysis, and risk modeling.
• Understanding of actuarial standards, regulatory requirements, and professional practices.
• Strong data-analysis and problem-solving abilities.
• Excellent attention to detail and numerical accuracy.
• Ability to identify trends, anomalies, correlations, and key risk drivers within complex datasets.
• Strong report-writing and presentation skills.
• Ability to explain technical actuarial concepts to non-technical stakeholders.
• Strong communication and stakeholder-management skills.
• Ability to work effectively with underwriting, claims, finance, risk, product, and senior-management teams.
• Strong organizational skills with the ability to manage multiple analytical projects and deadlines.
• Ability to work independently and contribute effectively within a consulting or insurance environment.
• Strong commercial awareness and understanding of how actuarial analysis supports business decisions.
• Professional actuarial qualification or progress toward qualifications such as FIA, FSA, ASA, IFoA, SOA, or equivalent is advantageous.
• Experience in actuarial consulting or advising insurance clients is beneficial.
• Knowledge of predictive analytics, machine learning, or advanced insurance analytics is an advantage.
🌟 What We Offer• Competitive salary and comprehensive employee benefits.
• Opportunity to work on complex actuarial and insurance-risk projects.
• Exposure to pricing, reserving, capital modeling, portfolio analysis, and insurance strategy.
• Professional development and actuarial training opportunities.
• Support for relevant actuarial examinations and professional qualifications.
• Opportunities to work with experienced actuaries, consultants, underwriters, finance professionals, and risk specialists.
• Exposure to diverse insurance products, portfolios, and business challenges.
• Opportunities to develop advanced modeling, statistical, and data-analysis capabilities.
• Recognition for delivering valuable actuarial insights and risk-management improvements.
