2027 Quantitative Research - Asset Management - Summer Analyst - United States

J.P. Morgan; New York (NY); On-site; USD 50,000 - 73,000; Full time

Job summary

JPMorgan Chase & Co. invites applications for a Quantitative Research – Asset Management Summer Analyst position within the Asset Management Investments Program.

You will work at the intersection of investment science and technology, collaborating with portfolio managers and research teams responsible for substantial client assets. The program offers hands-on experience with datasets, development work, and potential full-time offers after completion.

Qualifications

• Enrolled in a related Bachelor's or Master's degree, graduating 2027–2028.
• Proficiency in Python, C++, or Java.
• Attending a college/university in the U.S.
• Strong analytical, quantitative, and problem-solving skills.
• Excellent communication skills for presenting complex concepts to diverse audiences.
• Interest in investing, portfolio analytics, global markets, and quantitative research.
• Ability to thrive in a fast-paced, collaborative environment.

Responsibilities

• Apply quantitative investing and data science methods (factor modeling, optimization, ML) to research across asset classes.
• Analyze structured and alternative data to identify patterns and portfolio construction insights.
• Partner with portfolio managers, traders, and investment professionals to translate research into actionable strategies.
• Design backtests and validation frameworks; assess performance, stability, and risk at portfolio level.
• Implement research in production-quality code; maintain research infrastructure and tools.
• Contribute to solutions serving institutional, wealth, corporate, government, not-for-profit, and individual clients worldwide.
• Develop, validate, and enhance mathematical models and algorithms used in portfolio management and asset allocation.

Skills

Python

C++

Java

Analytical skills

Communication skills

Problem solving

Interest in investing

Education

Bachelor's or Master's degree in a related field

Tools

R

MATLAB

SQL

Tableau/Power BI

Job description

At JPMorganChase, we champion your innovative ideas through a supportive culture that helps you every step of the way as you build your career. If you are passionate, curious and ready to make an impact, we are looking for you.

Job Summary:

As a Quantitative Research – Asset Management Summer Analyst in the Asset Management Investments Program, you will sit at the intersection of investment science and technology—working directly with portfolio managers and research teams who oversee trillions in client assets. You'll apply academic knowledge to real-world portfolio construction, risk, and alpha-generation challenges, gain hands‑on experience with institutional‑scale datasets, and build a valuable network across one of the world's largest asset managers. This program sets a solid foundation for your career, with potential full‑time offers upon successful completion.

Job Responsibilities:

• Apply quantitative investing and data science methods—such as factor modeling, optimization, and machine learning to research problems across asset classes and datasets.
• Analyze structured and alternative data to identify patterns, return drivers, and portfolio construction insights.
• Partner with portfolio managers, traders, and other investment professionals to translate research into actionable investment strategies and client solutions.
• Design robust backtests and validation frameworks; assess strategy performance, stability, and risk implications at the portfolio level.
• Implement research in production‑quality code; maintain and enhance research infrastructure and investment/trading tools.
• Contribute to solutions that serve institutional, wealth, corporate, government, not‑for‑profit, and individual clients worldwide.
• Develop, validate, and enhance mathematical models and algorithms used in portfolio management and asset allocation.

Required Qualifications, Capabilities, and Skills:

• Enrolled in a Bachelor's or Master's degree in mathematics, statistics, physics, engineering, computer science, economics, finance, or data science/machine learning, graduating between December 2027 and August 2028.
• Proficiency in Python, C++, or Java.
• Attending a college/university in the U.S.
• Strong analytical, quantitative, and problem‑solving skills.
• Excellent communication skills for presenting complex concepts to both technical and non‑technical audiences.
• Interest in investing, portfolio analytics, global markets, and quantitative research.
• Ability to thrive in a fast‑paced, collaborative environment.

Preferred qualifications, capabilities and skills

• Genuine interest in financial markets, investing, portfolio construction, and macro‑level economics.
• Coursework or project experience in time‑series analysis, optimization, or statistical learning.
• Experience with R, MATLAB, or SQL.
• Familiarity with data visualization tools like Tableau or Power BI.
• Understanding of asset management products (mutual funds, ETFs, separately managed accounts), financial instruments, and market dynamics.
• Strong organizational skills for managing multiple projects.
• Ability to articulate complex quantitative concepts to diverse audiences.

Work Authorization:

To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment‑based immigration sponsorship for this program. Likewise, JPMorgan Chase, will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT.)

About you

We are looking for innovative problem‑solvers with a passion for developing complex solutions that support our global business.

Beyond that, what we’re most interested in are the things that make you unique: the personal qualities, outside interests and achievements beyond academia that demonstrate the kind of person you are and the difference you could bring to the team.

Join us

At JPMorganChase, we’re creating positive change for the diverse communities we serve. We do this by championing your innovative ideas through a supportive culture that helps you every step of the way as you build your career. If you are passionate, curious and ready to make an impact, we are looking for you.

What’s next?

Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume is a way for us to initially get to know you, so it’s important to complete all relevant application questions so we have as much information about you as possible. To start the application, you will be prompted to enter your email address. Your email address will be used to create and maintain your profile so make sure it is one you will have long term access to. Do not use an email address with “.edu” extension as doing so could result in delays receiving updates regarding your candidacy.

If you are advanced to the next step of the process, you’ll receive another email invitation to complete a coding challenge through Hackerrank, followed by a self‑recorded video assessment via HireVue.

Both assessments are required, and your application will not be considered for further review until you have completed both of them. We strongly encourage that you apply and complete these required elements as soon as possible, since programs will close as positions are filled.

JPMorganChase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We strive to hire qualified, diverse candidates, and we will provide reasonable accommodations for known disabilities.

Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more.

©2025 JPMorgan Chase & Co. JPMorganChase is an equal opportunity and affirmative action employer Disability/Veteran

Looking for innovative problem‑solvers who want to build quantitative models that shape how we invest billions across global markets.