Actuarial Associate – Insurance Risk Modeling & Analytics

Actuarial Associate – Insurance Risk Modeling & Analytics

New York, NY - 30HY

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.

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The Actuarial Associate, Insurance Risk Modeling plays a critical role in shaping the firm’s understanding of insurance liabilities and risk exposures. This individual will design, enhance, and validate advanced liability models that drive pricing, valuation, asset-liability management (ALM), and hedging strategies across the enterprise.

This is a hands-on, highly analytical role at the intersection of actuarial science, quantitative finance, and risk management — ideal for an actuary who wants to build scalable modeling solutions and influence key financial and strategic decisions.

• Develop and maintain insurance liability models within GA Risk’s proprietary modeling platform to support pricing, valuation, ALM, and hedging functions.
• Perform scenario and stress testing under multiple reporting frameworks (GAAP, Statutory, Economic, Bermuda), analyzing the interaction between actuarial and market risks.
• Onboard new Institutional transactions onto the Risk platform, ensuring accurate integration of liability data and consistent modeling methodologies.
• Validate and review actuarial models — challenge assumptions, assess methodologies, and strengthen control frameworks to meet internal governance and regulatory standards.
• Collaborate with cross-functional teams — including Pricing, Valuation, Investments, and Hedging — to translate complex modeling results into clear, actionable risk insights.
• Support new product launches by ensuring risk models remain current with rate updates, product enhancements, and emerging market conditions.
• Develop quantitative tools and analytics that enable the Risk team to assess and challenge existing modeling and risk management practices constructively.

• Bachelor’s degree in a quantitative discipline (Actuarial Science, Mathematics, Statistics, Engineering, Finance, or related field).
• 5+ years of actuarial or quantitative modeling experience in life and annuity insurance, financial services, or consulting.
• Proven experience building or maintaining complex insurance liability models.
• Solid understanding of life and annuity products, including the drivers of both actuarial and market risks.
• Experience in hedging, ALM, or risk-based capital frameworks preferred.
• Proficiency in Python or another modern programming language highly desirable.
• Exceptional communication skills, with the ability to synthesize technical insights for both technical and non-technical stakeholders.

You build reliable, efficient models that serve as the backbone for key risk and capital decisions.

You identify model or assumption weaknesses before they become financial exposures.

You collaborate seamlessly across Risk, Actuarial, and Investments — helping leadership see around corners.

You balance technical precision with strategic perspective, shaping the firm’s risk view at a portfolio level.

This is an opportunity to influence how a sophisticated insurer measures and manages risk in a dynamic, capital-intensive environment. You’ll work with high-caliber peers across actuarial, investment, and quantitative disciplines — while building the next generation of insurance risk modeling infrastructure.

This role is not eligible for visa sponsorship now or in the future.

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.

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