Job Description:

The Department

QRI is an investment division within Asset Management at Fidelity. We are responsible for the management and development of quantitative and hybrid quant/fundamental investment strategies and solutions while providing high quality quantitative, data-driven support to Fidelity’s fundamental investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.

The Advanced Strategies & Research team is seeking Quantitative Research Interns to support financial modeling initiatives across asset classes leveraging Statistical modeling, Machine Learning, Large Language Models, and Graph-based approaches. This opportunity is ideal for students with strong technical backgrounds who are eager to apply analytical skills to influence investment decision-making.

Education and Experience

• Currently pursuing a PhD (Class of 2027 or 2028) in a technical field (STEM) or Finance/Economics, with strong programming skills.

• Demonstrated experience/interest/skill in quantitative research and data science analysis.

• Academic or intellectual interest in financial markets.

• Excellent communication, presentation, and writing skills, as well as the ability to clearly articulate findings.

Advanced Strategies and Research Internship:

The ASR Quant Research Intern will work closely within our quantitative research team to support researchers building alpha generating security selection models. This person will sit amongst a team of researchers leveraging a wide variety of datasets and modeling techniques and have exposure to the full spectrum of research topics from idea generation and signal testing to portfolio construction and reporting.

Responsibilities Include:

• Using mathematic, economic and data science techniques to collect, process, and analyze a variety of proprietary and alternative data sets

• Test hypotheses on how a dataset might be utilized for predicting security returns

• Assist the team strengthening and extending our codebase

• Using internal infrastructure and systems to efficiently extract data and features to build and analyze models

• Data staging, cleaning and wrangling

• We are seeking students who are skilled in modern analytic techniques (e.g. Python, R, pandas, scikit-learn, etc.)

Skills and Knowledge

• Excellent oral and written communication skills

• Strong analytical, quantitative, and problem-solving skills

• Must be able to code in Python and must have exposure to SQL. Exposure to machine learning, NLP, and/or LLM a plus.

• Some Bond pricing and derivative pricing exposure is preferred

• Some understanding of the mathematics of Network Graphs is also preferred

Location:

Boston, MA

Intern Program Dates:

June 1st, 2026 – August 7th, 2026 (*Candidates must be available for the full duration of the program*)

Certifications:

Category:

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.