Job Description:
Note: Fidelity will not provide immigration sponsorship for this position.
The Role
Fidelity is seeking to hire a Quantitative Analyst Intern to join its Quantitative Research and Investments division. The intern will work alongside quants, portfolio managers, and traders on the Fixed Income team to develop quantitative techniques, models, and tools that enhance the investment process.
This is a unique opportunity to work alongside high-caliber investment professionals on one of the world's leading fixed income investment teams. The ideal candidate will demonstrate strong academic performance, exceptional analytical and communication skills, and unwavering integrity. Success in this role requires creative thinking, independent decision-making, and the ability to develop and clearly communicate well-researched investment recommendations.
Key Responsibilities
- Understand, maintain, and improve analytical infrastructure supporting the investment process
- Collaborate closely with other investment and technology professionals across the division
- Communicate complex quantitative concepts to non-technical audiences
- Demonstrate initiative and leadership in advancing investment research and processes
The Expertise and Skills You Bring
- Master's or PhD student graduating in late 2027 or early 2028 with a degree in financial mathematics, engineering, science, or a related quantitative field
- Proficiency in Python (or similar modeling language) and SQL
- Familiarity with fixed income markets and analytics
- Strong analytical, quantitative, and problem-solving skills
- Structured thinking and intellectual curiosity
- Effective communicator with the ability to explain complex ideas clearly
- Collaborative team player with a passion for investing and financial markets
The Team
Quantitative Research and Investing (QRI) is an investments and research division within Asset Management at Fidelity. QRI is responsible for managing and developing quantitative and hybrid quant/fundamental investment strategies and solutions while also providing high quality quantitative, data-driven research to Fidelity’s investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.
This role supports Fidelity's Fixed Income division, which is one of the leading managers of bond and money market instruments with over $2 trillion in fixed income assets. The Fixed Income team combines fundamental research on domestic and international debt issuers with macroeconomic and quantitative analysis to develop investment decisions that stay true to each portfolio’s defined investment mandate, while aiming to maximize risk-adjusted total return for our clients.
Fidelity’s Asset Management Internship Program
As a participant in Fidelity’s Asset Management internship program, you will gain hands-on training, receive mentorship from investment professionals, and contribute to meaningful projects and key deliverables. High-performing interns may be considered for a full-time opportunity upon graduation.
Intern Program Dates
June 7th, 2027- August 13th, 2027
Application Deadline
Please note, Fidelity reserves the right to close this application at any point
The base salary range for this position is $50 - $77 per hour.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Note, the application window closes when the position is filled or unposted.
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.
Certifications:
Category:
Investment Professionals