Quantitative Development & Data Science Internship

What you'd do

• 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.

What they want

• Class of 2029 - 2028 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. Skills and Knowledge
• 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

About Fidelity Investments

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.