Associate Actuarial Analyst - Predictive… at American… · MA Boston

Summary: American Family Insurance is seeking an Associate Actuarial Analyst to join their Property & Casualty Actuarial team. The role focuses on developing analytics and predictive modeling solutions to support pricing, reserving, and other business objectives while collaborating with actuarial and data/analytics colleagues. Responsibilities: - Support pricing, reserving, and product analytics projects under guidance of senior actuaries/modelers - Extract, validate, and prepare internal data; perform QA and document assumptions/limitations - Conduct exploratory analyses to identify trends, relationships, and insights - Assist with predictive modeling (GLM/GBM): feature development, testing, refinement, and performance monitoring - Build repeatable workflows for data prep, modeling, and validation using Python and/or actuarial tools - Create documentation and summary deliverables to support governance and knowledge sharing - Communicate findings clearly to business partners; escalate risks/questions as needed - Apply industry best practices and internal modeling standards - Contribute to additional projects based on business needs and development goals Required Qualifications: - Demonstrated experience providing customer-driven solutions, support, or service - Basic knowledge and understanding of property and casualty products, pricing, rates and industry trends - Basic knowledge and understanding of underwriting guidelines and concepts, pricing, ratemaking, loss reserving, modeling or reinsurance depending upon area of specialty - Demonstrated experience performing statistical/actuarial analysis and data forecasting and modeling techniques - Basic knowledge and understanding of forecasting and statistical analysis and modeling - Pursuing Associate or Fellow in Casualty Actuary Society (ACAS or FCAS) Preferred Qualifications: - Experience (academic, internship, or professional) applying statistical methods to real-world datasets; exposure to GLM and/or tree-based methods (GBM) preferred - Working knowledge of Python (preferred) or another programming language; ability to write readable, maintainable code for analysis - Familiarity with common data tools (e.g., SQL, spreadsheets, database tools) and the ability to learn internal systems quickly - Ability to communicate technical findings to non-technical audiences with guidance and feedback Required Skills: Predictive Modeling, Generalized Linear Models (GLM), Gradient Boosting Machines (GBM), Python, Statistical Analysis, Actuarial Analysis, Data Forecasting, Property, Casualty Insurance, Pricing, Ratemaking, Loss Reserving, Underwriting Guidelines, SQL, Spreadsheets, Database Tools, Casualty Actuarial Society ACAS, Casualty Actuarial Society FCAS Benefits: Comprehensive medical, dental, vision and wellbeing benefits, Competitive 401(k) contribution, A pension plan, An annual incentive, 9 paid holidays, A paid time off program (23 days accrued annually for full-time employees), Student loan repayment program, Paid-family leave