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University of the District of Columbia

Data Analytics Intern

University of the District of Columbia, Boston, Massachusetts, us, 02298


An internship in Asset Management is more than a summer job. Building your resume, networking, and gaining valuable work experience are just a few benefits of participating in a paid internship at Fidelity Investments!Looking for an outstanding opportunity to demonstrate your analytical attitude to impact financial decision-making? Data Analytics Internships within Fidelity’s Asset Management division give students the opportunity to do just that. These groups are seeking students with technical backgrounds who are interested in using those skills to assist our decision-making processes.Education and Experience

Class of 2025 or 2026 Master’s or PhD degreeDemonstrated experience/interest/skill in data science analysis, data visualization, or researchAcademic or intellectual interest in financial marketsExcellent communication, presentation, and writing skills, as well as the ability to clearly articulate findingsField(s) of study must be in a technical area (STEM) and/or Finance/Economics with a strong programming backgroundSkills and Knowledge

Excellent oral and written communication skillsStrong analytical, quantitative, and problem-solving skillsMust be able to code in Python and must have exposure to SQLLocation:

Intern Program Dates:

June 2nd, 2025 through August 8th, 2025Advanced Data Analytics Internship

The Data Analytics Intern will work closely within the Advanced Data Analytics Team to provide unique analysis supporting research analysts and portfolio managers.Responsibilities include:

Using mathematic, economic and data science techniques to collect, process, and analyze alternative data setsDeveloping knowledge and insights from large and/or unstructured data setsWeb scraping, text analytics, and automated reportingAssisting with various projects to support stock-specific workInterns may use resources including Wall Street contacts and internal groups like data and systems support, market data, and research services.We are seeking students who are skilled in modern analytic techniques (e.g. Python, R, pandas, TensorFlow, scikit-learn, etc.)

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