Modeling Actuary: Dividend Analytics & Python

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

Job summary

MassMutual is seeking a Modeling Actuary on the Dividend Analytics team to build, maintain, and enhance Python-based actuarial models for participating whole life products and dividend management. You will partner with actuarial experts to translate business requirements into robust, well-documented solutions, while advancing a modernized modeling platform with strong governance and testing practices.

Join a small, specialized DIMES team and grow your expertise in dividend assumptions,

Qualifications

• Bachelor's degree in actuarial science, math, statistics, data science, CS, engineering, or related field.
• ASA designation.
• 5+ years actuarial experience in insurance or financial services.
• 3+ years Python programming for analytical or modeling applications.
• Experience developing, maintaining, or enhancing actuarial models.
• Ability to translate business requirements into maintainable solutions while managing multiple priorities.

Responsibilities

• Convert business requirements into maintainable Python-based models.
• Enhance and validate actuarial and analytical models.
• Collaborate with subject matter experts for model validation and production readiness.
• Promote governance, testing, and documentation standards.
• Support dividend-like analysis and regulatory testing.

Skills

Strong collaboration and communication

Translating requirements into solution

Education

Bachelor's degree in actuarial science, mathematics, statistics, data science, CS, engineering, or related field

ASA designation

FSA designation

Tools

Python

Job description

MassMutual is seeking a Modeling Actuary on the Dividend Analytics team to build, maintain, and enhance Python-based actuarial models for participating whole life products and dividend management. You will partner with actuarial experts to translate business requirements into robust, well-documented solutions, while advancing a modernized modeling platform with strong governance and testing practices.

Join a small, specialized DIMES team and grow your expertise in dividend assumptions,