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Global Atlantic

Global Atlantic

www.globalatlantic.com

1 Job

1,386 Employees

About the Company

Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S., Bermuda, and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR), a leading global investment firm, Global Atlantic combines deep insurance expertise with KKR’s powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity, preneed life insurance, reinsurance, and investment solutions, Global Atlantic, through its issuing companies, helps people achieve their financial goals with confidence. For more information, please visit www.globalatlantic.com.

Listed Jobs

Company background Company brand
Company Name
Global Atlantic
Job Title
2026 Risk Data Analytics Intern
Job Description
Job title: 2026 Risk Data Analytics Intern Role Summary: Intern support the Risk Data Analytics team in building, deploying, and monitoring predictive models using machine learning and AI to assess and price insurance and reinsurance products. Expectations: Deliver functional ML solutions, contribute to data pipelines, and collaborate across cross‑functional teams. Demonstrate strong analytical, programming, and communication skills while meeting deadlines. Key Responsibilities: - Develop and implement supervised and unsupervised machine learning models. - Apply optimization tools to enhance model performance. - Assist with ad‑hoc data analytics projects and model validation. - Support the automation of data pipelines and data quality processes. Required Skills: - Proficiency in Python, data structures, relational databases, statistics, regression, and machine learning. - At least 3 years (6 semesters) of programming experience. - Ability to program independently without AI assistance. - Strong analytical, organizational, and written/ verbal communication skills. - Detail‑oriented, proactive, and deadline‑driven with excellent documentation. Preferred: - Experience designing/maintaining enterprise‑level databases. - Familiarity with high‑performance computing (PySpark). - Knowledge of generative AI platforms (AWS SageMaker, LangChain). Required Education & Certifications: - Currently pursuing a Master’s degree in Computer Science, Engineering, Mathematics, Economics, Quantitative Finance, or a related quantitative field. - Minimum cumulative GPA of 3.6. - Expected graduation December 2026 or May 2027.
New york, United states
On site
Fresher
21-11-2025