Senior Associate, Investment Analytics and Data (Senior Software Developer)

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.

• Resumes and portfolios (when applicable) are required as part of your application. When applying from a mobile device or tablet, you may not be able to attach a resume. If you cannot include an attachment at the time of your application, you will receive a follow up email asking you to attach your resume from a computer.

• 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.

• The use of Artificial Intelligence during interviews and skill testing is prohibited, unless Dimensional Fund Advisors has authorized such use.

• If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, such accommodation is available upon request.

Job Description:

The Research Department at Dimensional is integral both in the successful day-to-day functioning of the firm and in developing Dimensional’s long-term strategy. The team produces high-quality, thought-leadership research on investments and financial markets that is of interest to clients. The team also leads the development of the firm’s investment approach, the application of that approach through portfolio management and trading, and the implementation of technology solutions that make the investment process more efficient.  

Investment Analytics and Data (IAD) is part of the Research Department within Dimensional. Data and data analysis are at the underpinnings of how Dimensional constructs and manages portfolios and works to provide the best investment experience possible for our clients. IAD 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 reports. IAD is a hub group touching numerous areas of the implementation of the investment process and interacting with most other departments within Dimensional.

The Portfolio Analytics team within IAD works with the Portfolio Management and Technology teams on the systems that implement Dimensional’s portfolios.

The Portfolio Analytics team seeks a Senior Developer capable of supporting key initiatives underpinning our daily implementation process. The work is team based and involves building tools to create, maintain, and analyze data on the portfolio construction and order generation processes, as well as facilitating the day-to-day flow used by portfolio managers. Success in the role will mean implementing scalable, human-focused solutions that analyze, manage, and monitor portfolios to enhance operational efficiencies at Dimensional and deliver value-added investment solutions to our clients.

Responsibilities:  

• Work with the investment team to understand how Dimensional builds and manages its investment solutions.

• Identify opportunities for enhancements to our portfolio management process and work on designing and implementing such enhancements.

• Execute and analyze regular portfolio order generation validations to ensure inputs to research and portfolio management are appropriate and accurate.

• Develop the core portfolio management software suite on a full stack team.

• Write software in a collaborative environment, participate in code reviews, design sessions and mentoring.

Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Finance/Economics, or a related field. Demonstrate a capacity for and interest in quantitative software work.

• At least 5 years of professional work experience.

• Expertise in OOP – C# experience is required. Some Python experience is desirable.

• Experience with Front-End frameworks: Angular (Preferred), Typescript, ASP.net etc.

• Experience working with tools such as Jira