The posting
Job Description:
Investment Engineering is part of the Investments Team within Dimensional. Investment Engineering is responsible for ownership of investment data and analysis tools, which means managing said data from acquisition through distribution, driving analysis to create insights from data, and creating the end analysis consumed by internal and external clients and reports. Investment Engineering is a hub group touching numerous areas of the implementation of the investment process and interacting with most other departments within Dimensional.
Responsibilities
This nine-week program will be fully in-person and expose interns to the day-to-day activities of the IE group. Interns will gain an understanding of what it's like to be an IE Analyst at Dimensional, as they will be involved in projects that meet our firm’s current business needs. You will be expected to use your intellect, quantitative reasoning, and computational skills to identify and solve the various problems that arise in a fast-paced environment, working simultaneously on individual projects and team-based initiatives. Depending on what team within the IE group you are assigned to, projects may include the following:
- Help manage and distribute quality data and analysis to aid the portfolio management and sales processes;
- Build new tools to enhance investment processes;
- Help define and build data structures for distribution of data to end consumers;
- Perform analysis on portfolios and prospective strategies; and
- Contribute to ongoing efficiency efforts through automation, process design, and implementation;
This position is best suited for candidates who are interested in learning the broad principles of Dimensional’s investment philosophy and the nuanced application of those principles in our investment process within the group that forms the “engine room” of the firm’s investment and reporting processes.
Qualifications:
- Minimum 3.2 GPA and pursuing an undergraduate or specialized Master’s degree with an expected graduation date of December 2027 – June 2028. Preferred fields of study include finance, economics, mathematics, information systems, computer science, data science, physics, and engineering.
- Experience working with data.
- Knowledge of databases and query language (T-SQL, SAS) is highly considered, as pulling data from databases and performing analysis are major components of the job.
- Programming skills (C#, Python, R, Stata, Java) are highly considered.
- Strong logic skills – ability to see the big picture while remaining detail focused.
- Strong written and oral communication skills.
This role is not eligible for immigration sponsorship.
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