Internship in Strategy Research (PhD)
The Research department at Dimensional is integral both in the successful day-to-day functioning of the firm and in developing Dimensional’s long-term strategy. The team produces high-quality, thought-leadership research on investments and financial markets that is of interest to clients. The team also leads the development of the firm’s investment approach, the application of that approach through portfolio management and trading, and the implementation of technology solutions that make the investment process more efficient.
Our team is seeking PhD students from top tier academic programs to intern in the summer of 2026. The internship offers an opportunity to work on intellectually stimulating challenges and provides real life experience into the different aspects of research at Dimensional. The internship is open to PhD students in finance, economics, engineering, physics, computer science, mathematics, and other related fields who expect to complete their degree in the next 12 months.
Responsibilities
The nine-week internship program will be fully in-person and expose interns to the day-to-day activities of the Research group. Research interns are expected to help produce high-quality, academically grounded research to support and enhance our investment strategies and conduct empirical research on a variety of investment topics. Interns will gain an understanding of what it's like to be a full-time Researcher at Dimensional, as they will be responsible for projects that meet our firm’s current business needs. The internship length is flexible depending on your academic schedule and can be offered in our London or Austin office.
Qualifications and Desirable Experiences:
- Progress toward a PhD or current postdoctoral position in a discipline such as finance, economics, engineering, physics, computer science, mathematics, statistics, or similar.
- Applicants must have completed their PhD coursework and plan to defend their dissertation within the next 12 months (ABD).
- Excellent quantitative problem-solving and analytic skills.
- Excellent programming skills in one or more languages, such as C#, C++, Fortran
- Ability to communicate financial and economic concepts, in both oral and written form.
- Self-starter who can manage multiple projects and meeting deadlines.
- Experience doing empirical research with large datasets.