Python Modeling Actuary

Python Modeling Actuary📍 Location: Springfield, MA, US🏢 Industry: Hospital and healhcare💼 Work Setting: HybridAre you an actuarial professional with strong Python modeling expertise and a passion for modernizing complex insurance analytics platforms?We are seeking an Actuarial Modeling Consultant to join the Dividend Analytics Team within Corporate Actuarial. This role combines actuarial expertise, quantitative modeling, software development, and insurance analytics to support the modernization and long-term ownership of MassMutual's dividend modeling platform for participating whole life products.As a key member of a highly specialized team, you will help transform legacy actuarial models into modern Python-based solutions while contributing to dividend analytics, assumption development, regulatory testing, model governance, and financial analysis that directly impacts participating policyholders.Key ResponsibilitiesDividend Modeling Platform OwnershipLead the conversion, modernization, and long-term maintenance of the Python-based dividend modeling platform.Support the modeling framework used for participating whole life insurance products.Ensure models remain accurate, scalable, maintainable, and production-ready.Drive continuous improvements to platform architecture and functionality.Serve as a key owner of actuarial modeling infrastructure.Actuarial Model Development & EnhancementDesign, develop, enhance, and maintain actuarial models.Implement model enhancements based on business and actuarial requirements.Translate complex business needs into robust analytical solutions.Improve model efficiency, transparency, and usability.Support model performance monitoring and optimization.Python Development & AutomationDevelop actuarial applications and modeling solutions using Python.Modernize legacy actuarial processes and systems.Create reusable and maintainable code frameworks.Support automation of actuarial and analytical workflows.Implement software engineering best practices for actuarial modeling.Model Validation & TestingPartner with actuarial subject matter experts to validate models.Develop and execute testing strategies supporting:Model AccuracyProduction ReadinessCalculation IntegrityBusiness Rule ValidationInvestigate and resolve modeling discrepancies.Support independent model review activities.Dividend Analytics & Financial AnalysisSupport annual dividend determination and analysis processes.Contribute to the evaluation of dividend-related financial results.Perform analytical assessments supporting participating business management.Analyze dividend liabilities and policyholder impacts.Assist in evaluating alternative dividend scenarios and recommendations.Assumption DevelopmentSupport development and maintenance of actuarial assumptions.Analyze experience studies and emerging trends.Evaluate model assumptions impacting dividend calculations.Contribute to financial projections and scenario analysis.Support ongoing actuarial research activities.Regulatory Testing & ComplianceAssist with regulatory and actuarial testing requirements.Ensure models comply with governance and risk management standards.Support documentation required for audits and regulatory review.Maintain compliance with actuarial practice standards.Participate in model governance processes.Model Governance & Risk ManagementEstablish and promote best practices for:Model DevelopmentDocumentationChange ManagementTesting FrameworksControls & GovernanceImplement model risk management standards.Ensure proper version control and documentation processes.Contribute to enterprise modeling governance initiatives.Documentation & Knowledge ManagementCreate and maintain:Technical DocumentationModel SpecificationsBusiness RequirementsTesting DocumentationUser GuidesSupport long-term knowledge transfer within the team.Improve transparency and maintainability of actuarial models.Cross-Functional CollaborationWork closely with:Actuarial TeamsDividend Management StakeholdersFinancial AnalystsBusiness LeadersModel Governance TeamsTranslate actuarial concepts into actionable technical solutions.Communicate findings effectively to technical and non-technical audiences.Support enterprise-wide actuarial initiatives.QualificationsEducationRequiredBachelor's Degree in:Actuarial ScienceMathematicsStatisticsData ScienceComputer ScienceEngineeringRelated Quantitative FieldProfessional CredentialsRequiredASA (Associate of the Society of Actuaries)PreferredFSA (Fellow of the Society of Actuaries)ExperienceRequired5+ years of actuarial experience in:InsuranceFinancial ServicesQuantitative Modeling3+ years of Python programming experience supporting:Actuarial ModelsFinancial ModelsAnalytics ApplicationsExperience developing, validating, or enhancing complex quantitative models.PreferredParticipating Life Insurance ExperienceDividend Modeling ExperienceProduct Pricing ExperienceInforce Management ExperienceActuarial Model Modernization ProjectsTechnical SkillsActuarial ModelingDividend ModelingLife Insurance ModelingFinancial ProjectionsLiability AnalysisAssumption DevelopmentCash Flow ModelingProgrammingPythonModel AutomationAnalytical DevelopmentData ProcessingSoftware Engineering PracticesAnalyticsQuantitative AnalysisFinancial AnalysisScenario TestingExperience StudiesStatistical ModelingModel GovernanceModel ValidationRisk ManagementModel ControlsDocumentation StandardsTesting FrameworksPreferred Industry ExpertiseParticipating Whole Life InsuranceDividend ManagementLife Insurance PricingInforce ManagementActuarial ReportingInsurance Financial ManagementCore CompetenciesActuarial ModelingPython ProgrammingDividend AnalyticsLife InsuranceParticipating ProductsModel ModernizationFinancial AnalysisAssumption DevelopmentModel ValidationRegulatory TestingRisk ManagementQuantitative AnalysisActuarial GovernanceTechnical DocumentationStakeholder Collaboration