Actuarial Associate, Model Development and Production
Boston
full time
On Site
entry
$130k–$170k
H1B: no
Stage Actuarial Associate supports execution, testing, and production lifecycle of actuarial models for Annuity and Life Insurance businesses. Provides Python/PySpark technical support for data transformation and automation.
Responsibilities
Model Production
Lead and perform accurate monthly and quarterly production runs using Integrate and MG-ALFA models to calculate US Statutory, Tax, US GAAP reserves, and other related actuarial balances.
Prepare and validate model input files, including asset, liability, and scenario inputs.
Review and analyze model results and investigate variances.
Maintain evidence for SOX controls associated with production model runs.
Conduct annual impact testing for potential assumption changes.
Perform model runs to test model updates implemented by the Model Development team.
Perform model runs to provide the Valuation team with reserve impacts from model changes and support the review and approval of those changes.
Support analysis, including sensitivities, for statutory and GAAP balances and earnings impacts.
Support audit and regulatory requests.
Python, Data Transformation, Automation, and Technical Support
Develop, maintain, and troubleshoot Python and PySpark ETL processes that transform source data into production-ready actuarial model inputs and support model-output and post-processing workflows.
Qualification
Bachelor's degree in Actuarial ScienceMinimum ASA or equivalent designationExperience with MG-ALFAStrong communicationInnovative
Required
Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, Computer Science, or a related field.
Minimum ASA or equivalent designation.
At least 5 years of actuarial experience in the life insurance and retirement industry.
Direct work experience with or knowledge of life and annuity products, US Statutory and GAAP valuation.
Experience with MG-ALFA, Integrate, Prophet, RAFM, Pathwise, or other actuarial modeling and valuation software.
Strong hands-on Python programming skills are required, including the ability to read, develop, test, and troubleshoot production code.
Working knowledge of PySpark and experience with ETL/data-transformation processes, large datasets, data validation, and reconciliations.
Experience with Git/source control and basic software-development change-management practices, including branches, commits, pull requests, peer review, and controlled testing.
Familiarity with workflow orchestration and cloud-based data-processing environments such as Dagster, AWS/EMR, or comparable technologies is preferred.
Strong communication, technical, and analytical skills, with the ability to work effectively across Model Production, Model Development, Valuation, Data, and Technology teams.
Ownership and continuous-improvement mindset, with personal accountability for the execution of goals and objectives.
Innovative. Able to participate in the generation of new ideas and process improvements.
