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Senior Actuarial Modeling Analyst

Global Atlantic
Des Moines, IA Full Time
POSTED ON 1/5/2026
AVAILABLE BEFORE 3/7/2026
About Global Atlantic

Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S., Bermuda, and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR), a leading global investment firm, Global Atlantic combines deep insurance expertise with KKR’s powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity, preneed life insurance, reinsurance, and investment solutions, Global Atlantic, through its issuing companies, helps people achieve their financial goals with confidence. For more information, please visit www.globalatlantic.com.

Position Summary

The position is on the Actuarial Modeling team at Global Atlantic’s Boston office. While Boston is the preferred location, Des Moines office candidates may also be considered.

Responsibilities

  • Develop actuarial models for annuity products including FA, FIA, VA and Payout annuities. The models are used for GAAP, US and Bermuda Statutory reporting, cash-flow testing, FP&A and other purposes.
  • Assist with onboarding new deals, new products and new processes, on our state-of-the-art Milliman Integrate Actuarial platform
  • Develop and maintain testing tools for new models and model updates
  • Support assumption updates and impact quantification
  • Support model production team in producing quarterly/monthly valuation results
  • Follow and employ model development best practices, including:
    • Model design
    • Change management testing and governance
    • Documentation
    • Model validation
    • Adherence to SOX and Risk Management policies
  • Support internal and external auditing activities as well as regulatory exams and inquiries, as needed
Qualifications

  • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, or other related fields.
  • Near ASA with 2 years of experience in the life/annuity insurance industry.
  • Direct experience with MG-ALFA or other actuarial modeling software is preferred.
  • Self-starter and quick learner, being able to solve complex issues independently and in collaborative team settings.
  • Strong communication, problem-solving, technical and analytical skills.
  • Results-oriented, with ability to execute multiple high-priority items simultaneously.
  • Ambition and desire to succeed by delivering quality and effective results.
  • Ability to excel in a dynamic and fast-paced environment.

“To be considered for this role, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship of an employment Visa at this time.”

This is the expected annual base salary range for this Boston-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance.

Global Atlantic EEOC Statement

Global Atlantic is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

The base salary range for this role

$60,000—$114,600 USD

Privacy Statement

Our employees are in the office 5 days per week in New York and 4 days per week in all other offices. If you have questions on this policy or the application process, please reach out to benefits@gafg.com

Global Atlantic reserves the right to modify the qualifications and requirements for this position to accommodate business needs and regulatory changes. Future adjustments may include obtaining specific licenses or certifications to comply with operational needs and conform to applicable industry-specific regulatory requirements, state and federal laws.

Salary : $60,000 - $114,600

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