Job Title: AI Trainer – Actuaries (APAC/MEA)Client OverviewOur client is a rapidly growing global technology organization specializing in the development of advanced artificial intelligence solutions for enterprise and research applications. The company collaborates with experienced professionals across diverse industries to enhance AI capabilities in analytical reasoning, decision-making, and domain-specific problem solving.By combining human expertise with cutting-edge AI technologies, the organization develops intelligent systems capable of delivering accurate, practical, and data-driven insights across complex business environments. Operating with a globally distributed workforce, the company offers professionals the opportunity to contribute to innovative AI initiatives while working remotely in a flexible and collaborative setting.Role OverviewOur client is seeking experienced Actuarial Professionals to support the development and training of advanced Artificial Intelligence systems. In this role, you will create, evaluate, and refine realistic actuarial scenarios involving risk assessment, pricing, reserving, forecasting, profitability analysis, and financial modelling.Leveraging your actuarial expertise, you will ensure AI-generated outputs are technically accurate, methodologically sound, and aligned with professional actuarial standards and real-world insurance and financial services practices.Key ResponsibilitiesAI Training & Actuarial Content DevelopmentDevelop realistic actuarial tasks covering insurance, pensions, healthcare, consulting, and financial services applications.Create technically accurate scenarios involving pricing, reserving, forecasting, profitability analysis, and risk modelling.Produce detailed actuarial solutions supported by appropriate assumptions, methodologies, calculations, and professional conclusions.Ensure all actuarial content reflects current industry practices and accepted professional standards.Risk Analysis & Model EvaluationReview AI-generated actuarial outputs for technical accuracy, logical consistency, and practical application.Validate assumptions, reserve calculations, pricing methodologies, and financial projections.Assess AI-generated responses involving actuarial modelling, loss development, and reserve adequacy.Improve AI outputs by incorporating sound actuarial judgment and industry best practices.Quality Assurance & Technical ValidationEnsure actuarial content complies with established actuarial principles and professional methodologies.Identify inconsistencies, modelling errors, unsupported assumptions, and calculation inaccuracies.Refine AI-generated content to improve clarity, reliability, and technical precision.Maintain consistently high standards of quality across all assigned deliverables.Collaboration & Continuous ImprovementCollaborate with senior reviewers and actuarial subject matter experts.Apply calibration feedback to improve the consistency and quality of assigned work.Support the continuous enhancement of AI performance through the creation of high-quality actuarial training data.Deliver assignments within agreed timelines while maintaining quality expectations.RequirementsEducationBachelor's Degree or equivalent practical experience in Actuarial Science, Mathematics, Statistics, Finance, Economics, or a related quantitative discipline.Professional Experience3–8 years of professional actuarial experience within:InsuranceActuarial ConsultingPensionsHealthcareFinancial ServicesDemonstrated experience in:Actuarial ReservingPricingRisk AssessmentForecastingFinancial ModellingProfitability AnalysisProfessional QualificationsProgress toward a recognized actuarial qualification with multiple examinations successfully completed through one or more of the following professional bodies:Society of Actuaries (SOA)Casualty Actuarial Society (CAS)Institute and Faculty of Actuaries (IFoA)Equivalent regional actuarial professional bodyCore CompetenciesActuarial ReservingPricing & Product DevelopmentRisk ModellingFinancial ModellingForecastingProfitability AnalysisLoss Development AnalysisReserve Adequacy AssessmentStatistical AnalysisQuantitative ModellingInsurance Risk ManagementAnalytical ThinkingData InterpretationTechnical AccuracyProblem SolvingWritten CommunicationAttention to DetailPreferred QualificationsExperience in AI evaluation, data annotation, content review, or quality assurance is an advantage but not required.Strong understanding of insurance products, actuarial methodologies, and financial risk management.Ability to communicate complex actuarial concepts in a clear and structured manner.Experience developing or reviewing actuarial reports, pricing models, or reserve analyses.
3 days ago