Actuarial Associate, Insurance Liability Modeling

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.

The Actuarial Associate, Insurance Risk Modelling is instrumental in developing insurance liability models used in pricing, valuation, hedging and ALM.

Responsibilities:

• Develop insurance liability models in GA Risk’s liability modelling platform.

• Communicate findings and implications to Risk’s management team and other stakeholders

• Help onboard various Institutional transactions onto our Risk platform.

• Perform liability stresses under different lenses (GAAP/Stat/Econ/Bermuda) and understand both actuarial and market risks.

• Support new product launches and ensure the risk models are up to date with regular rate changes, new product features.

• Perform validation and control reviews of actuarial/financial models, including assessments of the methodologies and assumptions used within models.

• Assist in the development and use of quantitative models and analytical tools that enable the Risk function to provide constructive challenge to the current risk management, modeling, and pricing practices.

Qualifications:

• Bachelor's Degree in a quantitative discipline required.

• 5+ years in a diversified life and annuity/financial or actuarial consulting firm.

• Professional designation in financial risk management, such as FSA/ASA or CFA preferred.

• 5+ years of experience in insurance models with proven track records of modelling complicated insurance products.

• Knowledge of insurance products (both life and annuities) preferred.

• Previous experience in hedging or ALM preferred.

• Python programming skills are highly desired.

• Strong verbal and written communication skills, especially when articulating technical concepts in a compelling manner to engage both technical and non-technical audiences.

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

Various jurisdictions have passed pay transparency laws that require companies provide salary ranges for any positions for which they are accepting applications. Global Atlantic has offices in Atlanta, Batesville, Bermuda, Boston, Des Moines, Hartford, Indianapolis, and New York City. The base salary range posted below is inclusive of the lowest cost of living geography to the highest in which we have a Global Atlantic office.

Global Atlantic’s base salary range is determined through an analysis of similar positions in the external labor market. Base pay is just one component of Global Atlantic’s total compensation package for employees and at times we hire outside the boundaries of the salary range. Other rewards may include annual cash bonuses, long-term incentives (equity), generous benefits (including immediate vesting on employee contributions to a 401(k), as well as a company match on your contributions), and sales incentives. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Compensation for our more senior positions have a larger component of short-term cash bonus and long-term incentives.

The base salary range for this role is $140,000 — $155,000 USD

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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.