Python Modeling Actuary — Dividend Analytics Innovator

MassMutual; Springfield (MA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

MassMutual seeks a Modeling Actuary to advance the Python-based dividend modeling platform supporting participating whole life products. You will collaborate with actuarial experts to translate complex requirements into scalable models and well-governed solutions.

Ideal candidates have ASA status, 5+ years of actuarial experience, and 3+ years of Python development for analytical applications. The role emphasizes governance, validation, and ongoing modernization of models and processes.

Qualifications

• Bachelor's degree in actuarial science, mathematics, statistics, data science, computer science, engineering, or a related quantitative field.
• ASA designation.
• 5+ years of actuarial experience within insurance, financial services, or a related quantitative field.
• 3+ years of Python programming experience supporting analytical, actuarial, or modeling applications.
• Experience developing, maintaining, validating, or enhancing actuarial, financial, or other complex quantitative models.
• Demonstrated ability to translate business requirements into maintainable solutions while independently managing multiple priorities.

Responsibilities

• Convert business requirements into maintainable Python-based models and applications.
• Maintain, validate, and enhance the dividend modeling platform for participating whole life products.
• Collaborate with actuarial subject matter experts to support model validation and production readiness.
• Promote governance, testing, and documentation practices in model development.

Skills

Actuarial

ASA designation

Python

Modeling

Communication

Education

Bachelor's degree in a quantitative field

ASA or FSA designation preferred

Tools

Python

Job description

MassMutual seeks a Modeling Actuary to advance the Python-based dividend modeling platform supporting participating whole life products. You will collaborate with actuarial experts to translate complex requirements into scalable models and well-governed solutions.

Ideal candidates have ASA status, 5+ years of actuarial experience, and 3+ years of Python development for analytical applications. The role emphasizes governance, validation, and ongoing modernization of models and processes.