Location: United Arab Emirates (Remote)

Employment Type: Full-Time

Experience Level: Senior

Work Arrangement: Fully Remote

We are a globally focused insurance organization committed to developing disciplined, data-driven pricing strategies that support sustainable growth, appropriate risk selection, and long-term portfolio profitability across diverse markets.

Our teams collaborate across Actuarial, Pricing, Underwriting, Product, Claims, Finance, Risk, Reinsurance, Data, Distribution, and senior leadership to develop technically sound pricing frameworks and translate insurance risk into commercially appropriate rates and terms.

We are seeking an experienced Senior Pricing Actuary to lead insurance pricing strategy, actuarial modeling, rate adequacy analysis, portfolio segmentation, profitability analysis, pricing governance, and technical pricing initiatives.

The ideal candidate will combine advanced actuarial expertise with strong commercial judgment, statistical analysis, modeling capability, and stakeholder-management skills to develop accurate pricing models, evaluate rate adequacy, identify portfolio trends, and support profitable growth.

• Develop and implement pricing strategies aligned with underwriting objectives, risk appetite, market conditions, and profitability targets.
• Lead technical pricing activities across assigned insurance products, portfolios, markets, and customer segments.
• Develop, maintain, and enhance actuarial pricing models using appropriate statistical and actuarial methodologies.
• Analyze historical claims, exposure, premium, expense, and policy data to identify pricing trends and risk characteristics.
• Perform frequency, severity, loss-cost, claims-development, and profitability analyses.
• Develop appropriate assumptions for claims frequency, severity, inflation, expenses, exposure growth, and other pricing variables.
• Evaluate rate adequacy using historical experience, prospective assumptions, market information, and actuarial judgment.
• Calculate indicated rate changes and assess the financial impact of proposed pricing actions.
• Develop rate-level analyses and support implementation of approved pricing changes.
• Segment portfolios by risk characteristics to improve pricing differentiation and risk selection.
• Identify variables with meaningful predictive power for claims frequency, severity, or profitability.
• Develop and evaluate risk-classification frameworks and rating structures.
• Analyze geographic, industry, customer, product, coverage, distribution, and other relevant risk segments.
• Assess the impact of policy limits, deductibles, coverage structures, exclusions, and other terms on expected losses and profitability.
• Evaluate the interaction between pricing, underwriting appetite, claims experience, and portfolio performance.
• Analyze portfolio loss ratios, combined ratios, retention, growth, rate movement, and other performance indicators.
• Conduct price adequacy monitoring and identify areas requiring corrective pricing action.
• Monitor actual-versus-expected claims experience and investigate significant deviations.
• Conduct pricing diagnostics to identify changes in claims frequency, severity, mix, exposure, and other portfolio drivers.
• Develop predictive models and statistical techniques to improve pricing segmentation and risk differentiation.
• Apply generalized linear models, credibility methods, machine-learning techniques, or other appropriate methodologies where relevant.
• Validate pricing models through back-testing, sensitivity analysis, stability testing, and performance monitoring.
• Perform model governance, documentation, validation, and independent review activities.
• Assess model limitations, assumptions, data constraints, and potential sources of bias or instability.
• Develop scenario and sensitivity analyses to evaluate pricing outcomes under alternative assumptions.
• Assess the impact of inflation, economic conditions, interest rates, claims trends, catastrophe exposure, regulatory changes, and other external factors.
• Incorporate emerging claims trends and market developments into pricing assumptions.
• Collaborate with Claims teams to understand changes in claims costs, settlement patterns, litigation trends, and loss development.
• Work closely with Underwriting teams to ensure pricing models reflect underwriting strategy, risk appetite, and operational realities.
• Provide underwriting teams with pricing indications, risk segmentation, portfolio insights, and technical guidance.
• Partner with Product teams on new-product development, coverage design, rating structures, and pricing methodologies.
• Support product launches through technical pricing, profitability analysis, and pricing implementation.
• Work with Finance to reconcile pricing assumptions and results with financial forecasts and business plans.
• Collaborate with Risk and Reinsurance teams to incorporate risk-transfer costs, catastrophe exposures, capital considerations, and reinsurance structures into pricing analyses.
• Evaluate the impact of reinsurance costs and structures on technical pricing and portfolio profitability.
• Conduct competitor and market-rate analysis while maintaining appropriate actuarial and commercial discipline.
• Assess the relationship between technical price, market price, customer demand, and expected profitability.
• Support portfolio optimization initiatives by identifying underpriced, appropriately priced, and potentially overpriced segments.
• Develop pricing recommendations for new business, renewals, retention strategies, and portfolio remediation.
• Establish pricing governance frameworks, methodologies, approval thresholds, and documentation standards.
• Ensure pricing activities comply with applicable regulatory requirements, actuarial standards, internal policies, and governance frameworks.
• Prepare actuarial pricing reports, rate filings, technical memoranda, management presentations, and supporting documentation where required.
• Present pricing recommendations and analytical findings to underwriting committees, product committees, executives, and other stakeholders.
• Explain complex actuarial and statistical concepts clearly to non-technical decision-makers.
• Monitor pricing performance after implementation and identify opportunities for recalibration.
• Develop dashboards and management information covering rate adequacy, pricing performance, portfolio profitability, and model performance.
• Automate recurring pricing analyses and improve data, modeling, and reporting workflows.
• Maintain accurate pricing datasets, models, assumptions, documentation, and version controls.
• Mentor junior pricing actuaries and actuarial analysts and provide technical guidance on complex pricing assignments.
• Review pricing analyses prepared by junior team members and provide quality assurance and methodological guidance.
• Provide senior management with recommendations on pricing strategy, portfolio performance, risk selection, and profitability.

• Rate adequacy
• Technical price accuracy
• Pricing model predictive performance
• Actual-versus-expected loss performance
• Loss-ratio improvement
• Combined-ratio performance
• Pricing profitability
• Rate-change implementation accuracy
• Rate-change realization
• Portfolio margin performance
• Pricing segmentation effectiveness
• Risk classification accuracy
• Claims frequency forecast accuracy
• Claims severity forecast accuracy
• Loss-cost forecast accuracy
• Exposure forecast accuracy
• Pricing assumption accuracy
• Model stability
• Model validation completion
• Model governance compliance
• Pricing recommendation turnaround time
• Pricing implementation timeliness
• New-product pricing completion
• Renewal pricing completion
• Portfolio remediation effectiveness
• Underpriced-risk identification
• Pricing leakage reduction
• Pricing exception monitoring
• Pricing-policy compliance
• Regulatory pricing compliance
• Rate-filing accuracy
• Actuarial documentation completeness
• Data-quality performance
• Pricing dashboard accuracy
• Pricing-reporting timeliness
• Reinsurance cost integration accuracy
• Competitor and market analysis quality
• Stakeholder satisfaction
• Pricing process efficiency
• Automation adoption
• Junior team development

The successful candidate should have strong experience in insurance pricing, actuarial consulting, general insurance actuarial work, risk modeling, portfolio analytics, or actuarial pricing strategy, preferably within a major insurer, reinsurer, actuarial consultancy, or sophisticated financial-services organization.

The candidate should demonstrate:

• Strong understanding of actuarial pricing principles and insurance risk.
• Proven experience developing and implementing insurance pricing models.
• Strong knowledge of frequency, severity, loss-cost, credibility, and rate-level analysis.
• Experience with portfolio segmentation and risk classification.
• Strong statistical and quantitative modeling capabilities.
• Experience using generalized linear models, predictive analytics, credibility methods, or machine-learning techniques.
• Strong understanding of claims data, exposure data, premium data, and actuarial assumptions.
• Experience assessing rate adequacy and developing indicated rate changes.
• Strong understanding of insurance profitability, loss ratios, combined ratios, and portfolio performance.