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Senior Actuarial Modeling Analyst - MG-ALFA

$60k - $114.6k

Global Atlantic Financial Group

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 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. The position offers great opportunities to interact with experienced actuaries across multiple functions (e.g. modeling, risk, valuation and cash flow testing), and to gain experience in the actuarial modeling and analysis of a variety of complex product lines and asset classes. Responsibilities Build and maintain actuarial models in MG‑ALFA for cash flow testing, FP&A projections and other ALM purposes. Identify and implement improvements to corporate models and related processes, always looking to reduce unnecessary complexity, streamline model updates and the production of model results, improve the accuracy of actuarial projections, and optimize the efficiency of model computation/runtime. Prepare model change analysis, regression testing, impact quantification, and documentation for ongoing model development. Support cash flow testing production process and external audit of model and results as needed. Qualifications Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, or other related fields. ASA or FSA with 3+ years of experience in the life and annuity insurance industry. Direct experience with MG‑ALFA or other actuarial modeling software is preferred. US Statutory valuation and/or cash flow testing experience is preferred. Self‑starter and quick learner, 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. Authorization 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. Compensation Base salary range is $60,000 - $114,600 USD and 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 may include annual cash bonuses, long‑term incentives (equity), generous benefits (including immediate vesting on employee contributions to a 401(k) and a company match on your contributions), and sales incentives. Actual compensation will be based on geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. The range posted here includes the lowest and highest cost‑of‑living geographies where Global Atlantic has an office. Working Conditions Employees are required to work 5 days per week in New York and 4 days per week in all other offices. 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. #J-18808-Ljbffr Global Atlantic Financial Group

Vacancy posted 2 days ago
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