Summer Internship: Investment & Strategy Research

Dimensional Fund Advisors; Austin (TX); On-site; USD 25,000 - 41,000; Full time

Job summary

Dimensional Fund Advisors is seeking motivated undergraduates or specialized master's students for a summer internship in its Research Department. The nine-week, in-person program runs from Summer 2027 and targets students graduating December 2027 to June 2028 in finance, economics, math, statistics, CS, physics, engineering, and related quantitative fields.

Interns will tackle intellectually rigorous projects, work on portfolios and simulations, and present findings to internal teams while

Qualifications

• Minimum 3.2 GPA with expected graduation December 2027 – June 2028.
• Excellent quantitative problem-solving and analytic skills.
• Ability to communicate financial/economic concepts in written and oral form.
• Self-starter who can manage multiple projects and meet deadlines.
• Experience doing empirical research with large datasets.

Responsibilities

• Perform portfolio and prospective strategy analyses.
• Execute and analyze simulations for asset pricing models and economics studies.
• Conduct empirical research related to Dimensional’s investment strategies and topics.
• Review academic papers and present findings to internal teams.
• Collaborate with investment and client services to answer questions.

Skills

Programming languages

Quantitative analysis

Empirical research

Communication

Education

Undergraduate or Master’s in finance/economics/math/statistics/CS

Tools

Python

R

Stata

C++

C#

Fortran

Job description

Dimensional Fund Advisors is seeking motivated undergraduates or specialized master's students for a summer internship in its Research Department. The nine-week, in-person program runs from Summer 2027 and targets students graduating December 2027 to June 2028 in finance, economics, math, statistics, CS, physics, engineering, and related quantitative fields.

Interns will tackle intellectually rigorous projects, work on portfolios and simulations, and present findings to internal teams while