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, to solve problems algorithmically, and perform data analysis.
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.
Knowledge of T-SQL, databases, and Rest APIs in general highly considered, as much of the job involves pulling data from databases and performing analysis.
Experience with software management skills such as git, CI processes (eg github actions) is a plus.
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Additional Information
Job Description:
Job Description:
Investment Engineering is part of the Investments Team within Dimensional. Investment Engineering is responsible for ownership of investment data, which means managing 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. The Analytics Platforms team creates tools for clients to understand Dimensional's products and analyze how they might fit inside a client's portfolio.
Dimensional · Charlotte