
2026 Investment Fellowship Program
Role Summary
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
Responsibilities
Responsibilities will vary based on rotational placement, but may include:
- 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 kinds of assets, such as stocks, bonds, real estate, and cash, to optimize the risk/reward trade-off based on an individual’s or institution’s specific situation and goals
- Analyze data gathered and used by a company for the purpose of learning about its competition in a given market
Qualifications
Required:
- Full time student pursing a bachelor’s degree with and expected graduation date of December 2025 – May/June 2026 with a minimum cumulative grade point average of 3.5 on a 4.0 scale
- Must be majoring in one of the following areas or have at least a min of 24 credit hours in related courses: Engineering, Applied Mathematics, Computer Science and/or Physics
- Strong analytical skills and the ability to solve problems while showing intellectual curiosity.
- Savvy usage of technology and a data driven mindset.
- Ability to process a variety of information and quickly draw relevant conclusions and summarize results
Preferred:
- Knowledge of investments, portfolios, and stock trading preferred.
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 hybrid work, with up to one day per week from home.