Overview In this role, you will contribute to Investment Engineering within the Analytics Platforms area, owning data from acquisition to distribution and enabling insights for internal and client-facing analytics. You will build and maintain internal tools and frameworks that empower product teams to work more efficiently, while partnering with user groups to onboard new use cases. You will learn Dimensional's investment philosophy and translate it into practical data-driven processes. This position offers impact by advancing portfolio analytics and client applications at scale, with a strong emphasis on collaboration and continuous improvement.
Compensation / Benefits- comprehensive benefits
- educational initiatives
- culture celebrations
- variety of care programs
- career development opportunities
- diverse growth initiatives
Responsibilities- Own investment data lifecycle from acquisition through distribution
- Build and maintain internal tools and frameworks to support product teams
- Partner with user groups to onboard new use cases and translate SME goals into tooling
- Maintain and innovate analytics frameworks and tooling
- Execute projects to enhance tools and empower cross-functional teams
- Learn and apply Dimensional's investment philosophy to implementation of investment processes
Key requirements- Bachelor's degree in computer science, mathematics, engineering, or economics
- Proficient programming ability; Python is highly valued
- Understanding of financial markets and eagerness to learn more about Dimensional
- Experience with databases and large data sets for data analysis
- Knowledge of T-SQL, databases, and REST APIs is highly considered
- Experience with software management tools like Git and CI processes (e.g., GitHub Actions) is a plus
- intellectual curiosity
- problem-solving
- collaboration in a team-based environment
- Python programming
- Databases and large data sets
- T-SQL
