2025 Investment Fellowship Program
T. Rowe PriceAbout the role
Investment Fellowship 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.
T. Rowe Price’s Investment Fellowship Program offers college undergraduate and graduate students within mathematics, engineering, and the sciences a challenging quantitative opportunity to thrive in the financial industry, which is becoming increasingly quantitative and data driven. Under this program fellows will receive training, mentoring and experience in investment tasks (i.e., quantitative research and analysis, trading research and analysis, and quantitative decision and research support). Fellows accepted into this program will have direct "hands-on" involvement within the TRP investment organization.
As a part of the Fellowship Program, you will rotate approximately every 6 months for up to 2 years within the following departments:
Trading / Portfolio Modeling (Equity and Fixed Income)
Quantitative Research – Equity, Fixed Income, Multi Asset
Enterprise Risk
Distribution Channels
You will leverage your analytical and quantitative skills by working on projects and assignments across various business units. Additionally, you will further develop knowledge and skills in the following areas:
Portfolio Modeling
Quantitative Portfolio Analysis / Portfolio Attribution / Portfolio Construction
Multi Asset Research
Quantitative analysis / Research and Trading Research
Transaction Cost Analysis
Enterprise and Portfolio Risk Analysis
Competitive Analysis and Market Intelligence
Predictive Analytics
Potential projects may include the following:
Determine the value of a security by examining its numerical, measurable characteristics, such as revenues, earnings, margins, and market share
Search for exploitable patterns in data that can be used to reinforce or alter portfolio managers’ behavior and avoid unintended consequences
Evaluate derivatives as risk-adjusted return enhancement strategies for portfolios
Assess portfolio structure to manage risks of style drift
Analyze transaction costs and trade execution performance
Measure and optimize performance of brokers and algorithms and evaluate the effectiveness of our trading strategies
Assess derivative exposure in portfolios, liquidity analysis on balance sheets, redemption analysis studies, and competitor analysis research
Analyze exposure to risk and determine how to best handle such exposure
Divide investments among different
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