Vice President, Product Pricing Actuary - Stage

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 

We are seeking a seasoned actuarial modeling leader to serve as the enterprise Model Expert and Owner, responsible for overseeing the design, governance, maintenance, and strategic evolution of our MG-ALFA modeling framework. This role ensures that core actuarial models reliably support valuation, forecasting, capital, pricing, and risk analytics across the organization. 

The ideal candidate brings deep technical expertise, strong accounting acumen, and a demonstrated ability to partner across functions—including valuation, capital, risk, finance, product, and technology—to ensure the modeling environment remains accurate, well-governed, scalable, and positioned to meet evolving regulatory, reporting, and business requirements. 

RESPONSIBILITIES  

• Serve as the enterprise owner of the MG-ALFA modeling ecosystem, ensuring consistency, reliability, and adherence to governance standards.
• Lead model development, enhancement, and maintenance efforts to support US GAAP, US statutory, capital, forecasting, and management reporting needs.
• Oversee model change management processes, documentation standards, validation routines, and governance frameworks.
• Evaluate model performance, identify areas for improvement, and drive modernization or re-architecture initiatives when appropriate.
• Ensure models accurately reflect accounting bases, including US GAAP (LDTI), US statutory, tax, and economic frameworks; familiarity with BMA regulatory standards is a plus.
• Work collaboratively with valuation, capital, FP&A, risk, and product teams to align modeling approaches and ensure timely delivery of required outputs.
• Partner with technology and model infrastructure teams to advance automation, performance optimization, and integration with upstream and downstream systems.
• Provide actuarial expertise, direction, and peer review on model assumptions, methodologies, and controls.
• Mentor and guide actuarial staff on modeling best practices, coding standards, and actuarial software techniques.
• Develop clear, comprehensive, audit-ready documentation and support internal/external audit, model validation, regulators, and rating agency inquiries.
• Monitor emerging regulatory, industry, and modeling developments to maintain a forward-looking model strategy. 

QUALIFICATIONS 

• Fellow of the Society of Actuaries (FSA) required.
• 10+ years of actuarial experience, with a strong emphasis on financial modeling, model governance, and model infrastructure.
• Deep hands-on expertise in MG-ALFA; experience architecting or owning enterprise model frameworks strongly preferred.
• Extensive knowledge of US GAAP (including LDTI) and US statutory accounting; experience with BMA capital and reporting requirements considered a significant advantage.
• Strong programming and scripting skills (e.g., Python, SQL, VBA, C++ or equivalent) with demonstrated ability to automate complex actuarial workflows.
• Proven experience with model governance, change management, documentation standards, and validation frameworks.
• Exceptional problem-solving skills, intellectual curiosity, and technical rigor.
• Strong communication skills and the ability to explain complex modeling concepts to technical and non-technical stakeholders.
• Demonstrated ability to lead cross-functional initiatives and influence modeling strategy across an organization.