Notes to applicants:- Dimensional sees great value from collaborating in our offices and appreciates the benefits of flexibility. Most roles fit our office-first hybrid approach: We are together on our campuses Tuesdays, Wednesdays, and Thursdays and have the choice to work in the office or remotely, depending on what is best for that work day, on Mondays and Fridays. This approach maximizes in-person collaboration and interaction while simultaneously providing flexibility and applies to most roles globally with a few exceptions that require more or less time in the office. Please discuss with your Recruiter to confirm the details for this specific role.
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- Here at Dimensional, we strive to be an inclusive workplace for all. Even if you do not match every qualification listed, if you are interested in who we are, what we do, and why we do it, we suggest and encourage you to apply.
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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.
Responsibilities:Our team seeks an intellectual and creative candidate within the Investment Engineering Analytics Platforms area to work on key projects spanning portfolio analytics and client applications within Dimensional. Success in the role will mean learning both the big picture and nuance of Dimensional's investment philosophy and how it translates into the implementation of an investment process. Strong intellectual curiosity combined with an ability to dig into details is a prerequisite. The work is team-based and involves building and maintaining internal tools and frameworks to empower product teams to work more efficiently, as well as partnering with user groups to consult and onboard new use cases (where learning the SME knowledge, goals, processes of that team is critical). Success in the job, including career progression, will be driven by successfully maintaining and innovating in these frameworks and executing on projects to enhance and improve these tools.
Qualifications:- 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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