Senior Analyst – ALM Model Development

About the role

The Global Atlantic Bermuda team at KKR is seeking a technically strong Senior Analyst to enhance its proprietary ALM projection platform. The role blends quantitative finance, actuarial modeling, and hands‑on Python/SQL development to support Bermuda EBS valuation, BSCR capital calculation, and Embedded Value reporting.

Key responsibilities

• Support code development, enhancement and deployment of the ALM projection model used for quarterly Bermuda Economic Balance Sheet (EBS) valuation and related reporting.
• Develop forecasting capabilities for FP&A, Deal Team and new‑business modeling, and enhance numerical modeling for asset‑liability analysis, scenario analysis and portfolio optimization.
• Design and maintain automated unit tests and CI/CD pipelines to ensure precision and reproducibility across model releases.
• Collaborate with Actuarial, Investment and Risk teams to align asset and financial assumptions with ALM strategies.
• Review and challenge model results for accuracy, reasonableness and regulatory compliance.
• Integrate predictive modeling, machine learning and AI features to accelerate forecasting and broaden actuarial analytics.

Required profile

• Bachelor's or master's degree in actuarial science, mathematics, statistics, mathematical finance, computer science, engineering or a related quantitative discipline.
• 2–6 years of experience in quantitative, financial or actuarial modeling, data science or related analytical roles.
• Demonstrated ability to solve complex quantitative problems and develop production‑grade analytical code.

Required skills

• Strong Python programming skills.
• SQL (or comparable) database querying.
• Numerical computing libraries such as NumPy and SciPy.
• Data manipulation frameworks like Pandas or Polars.
• Experience with numerical optimization, large‑scale computation and performance tuning.
• Machine learning, predictive modeling and AI framework integration.
• Cloud‑based model development or deployment (e.g., AWS, Azure).
• Familiarity with actuarial platforms such as MG‑ALFA, Prophet or Moody's AXIS (optional).