Senior Analyst, Quantitative Software Engineer

Bermudasenior

Software EngineerSoftware Engineering

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Requirements Summary

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,

Technical Tools

Software EngineerSoftware Engineering

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.

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.

Responsibilities

~1 min read

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

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

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

Requirements

~1 min read

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
Strong OOP programming skills in Python/C++/C#. Strong proficiency in SQL
Experience with GPU computing using CUDA, PyTorch, TensorFlow, or similar frameworks
Experience with CI/CD pipelines, Git workflows, and automated testing frameworks
Strong communication skills, with the ability to articulate complex technical decisions to both technical and non-technical audiences
Experience or knowledge of machine learning solutions in production environments preferred
Experience with Web UI development (React, JavaScript, or similar) is a plus
Background in quantitative finance, risk modeling, insurance analytics, or scientific computing is a plus
Experience designing and implementing AI-powered automation, agentic workflows, and intelligent orchestration solutions is a plus

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.

KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email Benefits@kkr.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com. Only emails left for this purpose will be returned.

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.