Bachelor's degree, ideally in computer science, mathematics, engineering, economics - show us you have a capacity for and interest in quantitative work.
Experience with programming in one or more languages, though python is highly considered - demonstrate the ability to code, solve problems programmatically, and perform data analysis.
CFA or experience in GIPS is highly considered.
Understanding of financial markets and desire to learn more - know what Dimensional does.
Experience with databases and large data sets - show you can work with and analyze data to provide meaningful results, as much of the job involves pulling data from databases and performing analysis.
This role is not eligible for immigration sponsorship.
Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.
Additional Information
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 information from data, and creating the information and 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.
Within Investment Engineering, the Analytics Platforms team creates tools, content, and reporting for clients to understand Dimensional's products and analyze how they might fit inside a client's portfolio.
Dimensional · Austin