Associate Actuarial Analyst - Predictive Modeling (Hybrid)

American Family Insurance•Boston, MA

22h•$62,000 - $103,000•Hybrid

About The Position

We’re seeking an Associate Actuarial Analyst to join our Property & Casualty Actuarial team to develop analytics and predictive modeling solutions that inform business decisions. You’ll partner with actuarial and data/analytics colleagues to explore data, perform actuarial analyses, and help build and refine statistical and machine learning models (GLM/GBM preferred) supporting pricing, reserving, and other objectives. You’ll expand your Python-based analytics skills and strengthen your ability to translate results into clear business insights. This is a hybrid role and is not eligible for sponsorship. The position compensation range is $62,000.00 - $103,000.00, with pay rate type being salary. Compensation may vary based on job level and geographic work location. Relocation support is offered for eligible candidates.

Requirements

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).

Nice To Haves

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.

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.