Senior Analyst - ALM Model Development
IT
Bermuda
COMPANY OVERVIEW
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.
Position Summary
Global Atlantic's Bermuda team is seeking a technically strong senior analyst to play a key role in the development and enhancement of our proprietary ALM projection platform used for Bermuda EBS valuation, BSCR capital calculation, and Embedded Value reporting. The platform is in active expansion from its core valuation engine into end-to-end regulatory reporting, financial forecasting, and a broader suite of actuarial and investment analytics. This role combines actuarial expertise with hands-on Python & SQL development, working directly on production ALM projection systems that run across multiple insurance entities and economic scenarios. The position will partner closely with Investments, Risk, Corporate Actuarial, FP&A, and Technology teams to deliver high-quality projection capabilities, strong governance, and meaningful analytical insights. This role will be based in our Hamilton, Bermuda office.
Key Responsibilities:
- Support code development, enhancement and deployment of the ALM projection model used for quarterly Bermuda Economic Balance Sheet (EBS) valuation, BSCR capital calculation, and Embedded Value reporting
- Develop EBS forecasting capabilities to support FP&A, Deal Team, and new business modeling
- Build and optimize numerical solvers for asset-liability matching and portfolio optimization.
- Design and maintain automated unit tests and CI/CD pipelines to validate precision and reproducibility of actuarial and asset projection outputs across model releases
- Collaborate with Actuarial, Investment and Risk teams to ensure asset assumptions and ALM strategies are appropriately reflected in projections.
- Perform review and challenge of model results to ensure accuracy, reasonableness, and regulatory compliance
Qualifications:
- Bachelor’s degree in actuarial science, mathematics, statistics, finance, or other related field is required
- ASA designation or progress toward ASA with 3–6 years of experience in life and annuity insurance is preferred
- Strong Python/C++ programming skills required - must be comfortable contributing to a production codebase, not just scripting or ad-hoc analysis
- Experience with numerical computing libraries (NumPy, SciPy) and data manipulation (Polars, Pandas, or similar)
- Experience with actuarial valuation / projection software (MG-ALFA, Prophet, Moody’s AXIS, etc.) is preferred
- Familiarity with Bermuda EBS, Solvency II, or U.S. Statutory valuation frameworks is a plus
- Demonstrated ability to solve complex calculations and dive into technical details
- The successful candidate will be a motivated, results-oriented professional who thrives in a dynamic environment. We are seeking someone who:
- Excels at collaboration and communication, building strong cross-functional relationships
- Works well under pressure in a fast-paced environment
- Is persistent when developing a solution to a problem
- Demonstrates the ability to collaborate effectively within a high-performing team while maintaining strong individual accountability and execution.
- Takes ownership of their responsibilities
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KKR 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.
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