Senior Analyst, Quantitative Software Engineer
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 Overview
Global Atlantic's Bermuda team is seeking a highly skilled and intellectually curious senior analyst to build and scale 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 focuses on building high-performance modeling infrastructure, scalable cloud-native data platforms, and optimizing computational performance for large-scale financial simulations that support insurance valuation, capital analytics, and asset-liability management (ALM) processes.
The ideal candidate will have a software engineering or computer science background, a passion for solving complex performance and scalability problems within a rich financial domain, and the ability to drive long-term technical initiatives as part of a global team. Insurance domain knowledge is not required - strong engineering fundamentals and willingness to learn are what matter. This role will be based in our Hamilton, Bermuda office.
Key Responsibilities:
High-Performance Computing & Modeling Infrastructure
- Develop and maintain scalable projection engines for the ALM platform
- Design and optimize parallel/distributed execution frameworks (multiprocessing, shared memory, thread pools) for large-scale financial projections
- Develop performance-critical numerical software using vectorized computation, efficient memory management, and parallel processing techniques
- Support code development, enhancement and deployment of the ALM projection for existing and new application
Data Infrastructure & Pipelines
- Build and maintain cloud-native data pipelines and infrastructure leveraging AWS services (EC2, S3, EKS, AWS Batch) and Snowflake
- Develop and maintain the centralized Enterprise Data Hub (EDH) for model inputs, outputs, and business intelligence analytics
- Automate regulatory template population and reporting pipelines
Platform Development & UI
- Build and maintain Web UI components to support evolving system capabilities and user interaction with model configuration and results
- Implement and maintain CI/CD infrastructure: automated regression testing, baseline management, reconciliation engines
- Maintain code quality through testing frameworks, linting, and structured development practices
Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, or a related field from an accredited institution. A Master’s degree in Machine Learning, High-Performance Computing, or a related discipline is a plus
- 2+ years of professional software engineering experience designing, developing, and deploying large-scale software systems in a production environment
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