Senior Analyst - ALM Model Development

KKR
Hamilton
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 2-6 yearsEducation: mastersSkills: ["Collaboration","Communication","Results-oriented","Ownership","Ability to work under pressure"]

Develop and enhance Global Atlantic’s proprietary ALM projection platform used for Bermuda EBS valuation, BSCR capital calculation, and Embedded Value reporting. Build EBS forecasting capabilities and advanced asset-liability numerical models for forecasting, scenario analysis, optimization, and scalable analytics. Implement and productionize Python/SQL workflows with unit tests and CI/CD, integrate predictive modeling/AI-enabled features, and collaborate across Investments, Risk, Corporate Actuarial, FP&A, and Technology.

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FursaFursa
KKR
KKR
16 hours ago

Senior Analyst - ALM Model Development

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Last checked: 11 hours agoStatus: Live

Job Summary

Develop and enhance Global Atlantic’s proprietary ALM projection platform used for Bermuda EBS valuation, BSCR capital calculation, and Embedded Value reporting. Build EBS forecasting capabilities and advanced asset-liability numerical models for forecasting, scenario analysis, optimization, and scalable analytics. Implement and productionize Python/SQL workflows with unit tests and CI/CD, integrate predictive modeling/AI-enabled features, and collaborate across Investments, Risk, Corporate Actuarial, FP&A, and Technology.
Location: Hamilton
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Support development, enhancement, and deployment of the ALM projection model for quarterly Bermuda EBS valuation, BSCR capital calculation, and Embedded Value reporting.
  • •Develop EBS forecasting capabilities to support FP&A, Deal Team, and new business modeling.
  • •Build numerical modeling for asset-liability analysis, forecasting, scenario analysis, and portfolio optimization, including efficient large-scale calculations.
  • •Design and maintain automated unit tests and CI/CD pipelines to validate precision and reproducibility across model releases.
  • •Develop and integrate predictive modeling, machine learning, and AI capabilities to accelerate forecasting and expand actuarial and investment analytics within the ALM platform.

Key Requirements

  • •Bachelor's or master's degree in a quantitative discipline such as actuarial science, mathematics, statistics, mathematical finance, computer science, engineering, or a related field.
  • •2–6 years of experience in quantitative modeling, financial modeling, actuarial modeling, data science, or related analytical/model development roles.
  • •Strong Python skills for reusable, production-oriented analytical/modeling code; experience with SQL is preferred.
  • •Experience with numerical computing libraries (e.g., NumPy, SciPy) and data manipulation frameworks (e.g., Polars, Pandas).
  • •Experience building forecasting/simulation/optimization/scenario-analysis/financial or actuarial projection models, with experience integrating predictive modeling/ML into production workflows preferred.
Experience:2-6 yearsInsuranceActuarial modelingData scienceMachine learningPredictive modeling
Education:Master's
Skills:CollaborationCommunicationResults-orientedOwnershipAbility to work under pressure
Languages:English
Tech Stack:PythonSQLNumPySciPyPolarsPandasCI/CDMachine learningAI/MLMG-ALFAProphetMoody's AXIS

Company Brief

KKR
Global investment firm providing alternative asset management and capital markets services across private equity, credit, real assets, and hedge funds, serving institutional and private clients worldwide.
Industry: Asset Management
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 1976
WebsiteLinkedIn