Actuarial Modeling - Senior Analyst

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 OVERVIEW

This Senior Analyst position is in the Corporate Actuarial Department at Global Atlantic’s Boston or Des Moines office, reporting to the AVP, Actuarial Modeling.

Key responsibilities will include the following:

• Assist with onboarding new deals to existing valuation modeling platform.

• Review and study deal related documents (liability assumptions, policy forms, reinsurance treaties, etc.)

• Perform due diligence to ensure documented requirements (product features, assumptions, etc.) are properly implemented in the interim AFM model by the Onboarding team

• Build MG-ALFA model utilizing accurate product features, assumptions, and data.

• Perform model analysis and sensitivity analysis to validate model results to interim AFM model

• Build various tools including model replication to support user acceptance

• Facilitate model signoff by presenting model results and reconciliation with key stakeholders – pricing, valuation, etc.

• Support actuarial models in MG-ALFA for cash flow testing and other ALM purposes.

• Maintain and enhance models for product changes, modeling features, and assumption updates.

• Support financial reporting for US GAAP, US Statutory, and Bermuda EBS using newly developed valuation models.

• Leverage Excel, VBA or Python tools for data transformation, with uses in data implementation, model development, model validation, and model result analysis.

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.

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 [email protected]

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.