Quantitative Development & Data Science Internship
About The Position
Quantitative Development & Data Science Internship Our Mission At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want— from the 23 million people investing their life savings, to the 20,000 businesses managing their employee benefits programs, to the 10,000 advisors and institutions needing innovative technology solutions to invest their clients’ money. To do this well, as a privately held company, we place a high degree of value in nurturing a work environment that attracts the best talent and reflects our commitment to being an employer of choice. For more information about Fidelity Investments, visit www.fidelity.com. An internship in Asset Management Technology is more than a summer job. Building your resume, network, and gain valuable work experience are just a few benefits of participating in a paid internship at Fidelity Investments! Are you looking for an outstanding opportunity to demonstrate your analytical attitude and technical aptitude to assist in financial decision-making? Quantitative Development and Data Science Technology within Fidelity’s Asset Management division give students the opportunity to do just that. The group is seeking students who are passionate in applying their problem solving, quantitative and engineering skills to assist our Quantitative Research Analysts, Portfolio Managers, and other investment professionals in their decision-making processes by developing be-spoke solutions.
Requirements
- Class of 2026-2027 Master’s or Bachelor’s degree candidates.
- Demonstrated projects in full stack software engineering with ability to use various technology and tool.
- Academic or intellectual interest in financial markets.
- Excellent communication, presentation, and writing skills, as well as the ability to clearly articulate findings.
- Excellent oral and written communication skills
- Interest and executed projects leveraging Financial Engineering or Machine Learning concepts.
- Full stack software engineering – combination among - Python, R, SQL, Java, JavaScript, HTML/CSS, C++.
- Strong analytical, quantitative, and problem-solving skills
Responsibilities
- Build high quality, robust, and efficient analytical solutions that will be used to improve investment processes.
- Assignments will include gather the requirements for ideas through dialogue, conceptualize them through a programming language, and create a packaged solution that can be used by the investment professionals.
- Develop documentation for solutions created and thoughts on future extensibility.
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What This Job Offers
Career Level
Intern
