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The Summer Internship is an intensive 10-week internship program with Global Investments. This internship provides exposure to the portfolio management and reporting functions within Aflac’s Global Investments organization. The intern will gain hands-on experience supporting financial analysis, investment reporting, and data automation efforts that inform internal investment committees and senior stakeholders. Working alongside experienced investment professionals, the intern will learn how portfolio data is consolidated, analyzed, and communicated across asset classes in a highly regulated corporate investment environment, while developing strong analytical, technical, and business process skills.
Job Responsibility:
Support portfolio reporting and financial analysis by assisting with the preparation, consolidation, and validation of investment data across asset classes, with a focus on fixed income
Assist in the development and enhancement of automated reporting processes, helping streamline recurring reports used for internal investment reviews and committees
Prepare and organize materials, metrics, and supporting data for internal investment committee presentations, including asset class activity, purchases, and sales
Partner with team members to help maintain data accuracy, improve reporting workflows, and document business processes related to portfolio analytics
Requirements:
Interest in asset management, investments, or financial analysis
Proficiency in Excel
familiarity with data and reporting tools such as Power BI, Alteryx, or similar platforms is a plus
Exposure to SQL and/or Python for data analysis or automation is preferred but not required
Strong attention to detail, organization, and ability to work with large datasets
All candidates must have eligibility to work permanently in the U.S. and must be physically located in the continental U.S. for the duration of internship
Working time zone is Eastern Standard Time in New York City
Nice to have:
familiarity with data and reporting tools such as Power BI, Alteryx, or similar platforms
Exposure to SQL and/or Python for data analysis or automation
What we offer:
A housing stipend will be provided for non-local candidates