- Develop efficient, scalable data and research infrastructure.
- Implement robust workflows for processing structured and unstructured financial datasets.
- Contribute to internal microservice-based infrastructure platform.
- Develop web-based tools for internal teams and users.
- Undergraduate degree in CS, EE, or related field.
- Two years professional experience in software engineering.
- Programming experience in Python (relational databases and SQL a plus).
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W Talent New York, United StatesRole: Software Engineer - Geneva Platform Development · Location: Midtown, New York, NY · Salary: $175,000 - $200,000 · Company Overview · Join a leading asset management firm located in the heart of Midtown, New York. Our firm is dedicated to delivering superior investment perfo ...
Software Engineer - New York, United States - Engineers Gate
Description
About the RoleEngineers 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.
The Software Engineer will join EG's Core Technology team as a key player in building and scaling the company's central infrastructure, participating in greenfield projects as well as enhancing existing systems. As part of a small, focused team, the Software Engineer will report directly to the Co-CTOs and will collaborate closely with team members and end users, having immediate firmwide impact and gaining exposure to all areas of the firm such as data, research, operations, and risk.
Joining Engineers Gate offers a unique opportunity to work at the forefront of systematic trading, where innovation and quantitative analysis intersect. We are passionate about implementing scientific and mathematical methods to explore and solve problems in the global financial markets. If you thrive in a fast-paced, data-driven environment, we encourage you to apply.
Key Responsibilities