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
- 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
#LI-Onsite
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 [email protected]. 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 [email protected]. 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.
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, or related field
- 2+ years professional software engineering experience building and deploying large-scale production systems
- Strong OOP programming skills in Python, C++, or C#
- Strong proficiency in SQL
- Experience with GPU computing using CUDA, PyTorch, TensorFlow, or similar
- Experience with cloud-native data pipelines and AWS services (EC2, S3, EKS, AWS Batch)
- Experience with Snowflake
- Experience with CI/CD pipelines, Git workflows, and automated testing frameworks
- Strong communication skills, able to explain technical decisions to technical and non-technical audiences
- Onsite work in Hamilton, Bermuda
- Master's degree in ML/HPC or related (preferred)
- Experience or knowledge of production ML solutions
- Experience with Web UI development (React, JavaScript)
- Background in quantitative finance, risk modeling, insurance analytics, or scientific computing
- Experience designing AI-powered automation and agentic workflows
KKR Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KKR and has not been reviewed or approved by KKR.
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Fair & Transparent Compensation — Pay is considered strong and often characterized as fair, with a success‑based model intended to tie rewards to realized performance. Feedback suggests this structure improves clarity around how outcomes influence compensation.
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Equity Value & Accessibility — Broad‑based employee ownership is emphasized, giving team members access to options, RSUs, and portfolio‑company equity programs that can yield meaningful upside. This approach is positioned as additional value without trading off wages or core benefits.
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Healthcare Strength — Health coverage is described as comprehensive, with standout elements like an on‑site wellness center at the New York headquarters offering primary care, mental health, and preventive services. Wellness programs, nutrition support, and EAP resources further reinforce a robust health offering.
KKR Insights
What We Do
KKR is a leading global investment firm that offers alternative asset management and 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 The Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. For additional information about KKR & Co. Inc. (NYSE: KKR), please visit KKR’s website at www.kkr.com and on Twitter @KKR_Co.
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