2025 Global Trading Internship Program

Global Trading Internship Program   

For 80 years, T. Rowe Price has changed the investment management industry by delivering world-class service and guidance to individuals and institutions around the globe.  Our shared values enable us to create a dynamic workplace that cultivates high achievement from diverse professionals in a variety of disciplines.  Built on a tradition of integrity, we are committed to our clients and employees and focused on sustained growth and success. 

The T. Rowe Price 10-week Summer Internship Program offers an opportunity to gain valuable work experience while building skills and long-term career potential. Through teamwork, innovative thinking and application of your skills, you can add value in various ways to our organization and the clients we support. You will have the opportunity to collaborate with the Portfolio Solutions team, which oversees and directs client account activity on the Global Trading Desk. You will engage in analytical and quantitative projects alongside practitioners in the field who are forward-thinking, passionate people that will help you integrate what you learn in school with “real world” business initiatives. 

The program includes a formal orientation, peer and senior mentor assignments, and formal learning opportunities.  In addition to the work assignments within the assigned department, Interns also gain exposure to Associates and senior leaders across the firm through an executive speaker series, networking activities, and engagement with our Business Resource Groups.   

You will be place into a specific department within Global Trading for the duration of the 10-week program with exposure to a variety of areas:  

• Transaction Cost Analysis 

• Portfolio Management and Modeling 

• Portfolio Solutions Group Liaison (Traders/Brokers) 

• Analytical and Quantitative Projects 

• Performance and Data Analytics 

• Risk Management 

Depending on department placement responsibilities may include:  

Support analytical and quantitative projects within Investment and Trading Solutions  

Use data to investigate and evaluate counterparties and algorithmic behavior across asset classes 

Required Qualifications 

• Full time student pursing a bachelor’s degree with and expected graduation date of December 2025 – May/June 2027 

• Demonstrated programming skills or aptitude, especially with R, MATLAB, Python and object-oriented programming 

• Intellectual curiosity or knowledge of investments, portfolios, and quantitative analysis 

• Minimum GPA: 3.5 Overall  

• Major: Computer Science, Engineering, Economics, Mathematics, Statistics, Physical Sciences, or Quantitative Finance study 

Opportunities are available in Baltimore, MD.   

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status)  

FINRA Requirements 

FINRA licenses are not required and will not be supported for this role. 

Work Flexibility 

This role is eligible for remote work up to one days a week.  

WHAT TO EXPECT AFTER APPLYING 

1. You will receive an email and text message to answer a few questions to verify your eligibility. If you apply for multiple jobs, you will receive separate invitations for each role and will need to respond to each. Estimated Time Commitment: 3-5 minutes 

2. If you are eligible, you will be asked to complete an online assessment and record video responses to introductory questions with our vendor partner, HireVue. Take time to read all instructions carefully before responding. Some questions may require you to respond within a set time limit, or with limited retakes. You can use this opportunity to tell us more about your background and interest than we can learn from a resume alone. Estimated Time Commitment: 45 minutes 

3. A member of our recruiting team will personally review your responses and follow up if you are selected for an interview.