POSITION OVERVIEW

The Risk Data Analytics group reports through the Chief Risk Officer and uses machine learning techniques to develop predictive models for policy-level transactions and human behaviors. The models are used to develop and price retail products and institutional reinsurance deals, monitor related risk, and to assist in forecasting and financial reporting. The group has a unique vantage point into nearly all aspects of the enterprise and is actively enhancing its capacity, continuing to grow with the whole company. The successful candidate will have an opportunity to work on a variety of projects depending on skill set, interest, and personal goals, and to collaborate with other teams with functions mentioned above.

RESPONSIBILITIES

Implementing machine learning and optimization tools
Developing supervised and unsupervised machine learning models
Assisting with ad hoc data analytics projects
Assisting the team on developing automated data pipeline

QUALIFICATIONS

Strong academic record in pursuit of a Bachelor or Master's degree in top universities with concentrations and/or interests in Computer Science, Engineering, Mathematics, Economics, Finance, or other quantitative field (minimum 3.5 GPA);
Graduating in December of 2025 or May of 2026
Background in a technical or scientific field and at least two year/four semesters of programming experience
Knowledge of Python, data structure, statistics, regression, machine learning are required.
Knowledge of high-performance computing, such as PySpark, are preferred but not required.
Knowledge of Generative AI and relevant tools, such as AWS SageMaker, and Langchain, are preferred but not required.
Strong analytical, organizational, and communication (written and verbal) skills
Pro-active, detail oriented, and deadline driven; possess excellent documentation and analysis skills
Extraordinarily strong Excel skills are highly valued but not required

This position is not eligible for visa candidates now or in the future.

Various jurisdictions have passed pay transparency laws that require companies provide salary ranges for any positions for which they are accepting applications.

Global Atlantic’s Intern Salary is determined through an analysis of similar positions in the external labor market. The Intern Salary is based on yearly compensation and will be paid for 10 weeks during the program. Intern Salary is just one component of Global Atlantic’s total compensation package for interns. Other rewards may include an intern cash stipend, employee contributions to a 401(k), as well as a company match on your contributions, and branded gifts. The Intern Salary for this role is $110,000.

#LI-AG1

2025 Risk Data Scientist Intern