Quant Firm #EG77
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. our 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 our 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
· 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.
Required Skills, Qualifications and Experience
· 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).
The salary for this role is anticipated to be between $110k and $175k. This range does not include any potential bonus amounts, other forms of compensation, or benefits offered. Actual compensation for successful candidates will be carefully determined based on a number of factors, including the candidate’s skills, qualifications, education and experience.