About the Role

Engineers Gate (EG) is a leading quantitative investment company focused on computer-driven trading in global financial markets.  We are a team of researchers, engineers, and financial industry professionals using sophisticated statistical models to analyze data and identify predictive signals to generate superior investment returns. EG’s investment teams each focus on their independent strategies while utilizing the firm’s proprietary, state-of-the-art technology and data platform to optimize their alpha research.

We are passionate about implementing scientific and mathematical methods to explore, isolate, and solve problems in the global financial markets.  We believe that career fulfillment and enterprise success converge when smart, hard-working, and intellectually curious people come together with a shared goal of innovation and the pursuit of excellence. 

Job Summary: 

The Software Engineer will join Engineers Gate’s Core Technology Team as a key player in building and scaling the company’s data platform, one of the cornerstones of our research infrastructure.  This individual will be responsible for creating new research datasets by cleaning, normalizing, and loading data into the platform, as well as enhancing the underlying platform itself.  As part of a small, focused team, the Software Engineer will collaborate closely with team members and end users, gain full stack data experience, and have immediate firmwide impact. 

Key Responsibilities

• Develop efficient, scalable data and research infrastructure.
• Implement robust workflows for processing structured and unstructured financial datasets.
• Analyze dataset coverage and quality; develop and maintain reusable libraries for data analysis.
• Work closely with quantitative researchers to extend and utilize the data platform.

Required Skills, Qualifications and Experience

• Undergraduate degree in CS, EE, or related field.
• Two years professional experience in software or data engineering.
• Programming experience in Python.
• Familiarity with data pipelines/ETL tools, relational databases, and/or SQL.