LaBine and Associates Jobs

Python Software Engineer

LaBine and Associates

Python Software Engineer

Posted 4 Days Ago

In-Office

New York, NY, USA

Junior

In-Office

New York, NY, USA

Junior

Develop scalable data and research infrastructure, build workflows for structured and unstructured financial datasets, contribute to microservice-based platforms, and create web-based tools for internal users. The role involves greenfield development, system enhancement, and close collaboration with technology teams and firmwide end users at a quantitative investment company.

The summary above was generated by AI

Fulltime opportunity for an experienced software engineer with our fintech client.

The Software Engineer will join the firm'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 an immediate firmwide impact and gaining exposure to all areas of the firm such as data, research, operations, and risk.

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.

Qualifications

Undergraduate degree in CS, EE, or related field.
Two years of professional experience in software engineering.
Programming experience in Python (relational databases and SQL a plus).

This leading systematic quantitative investment company that operates globally. The firm is a team of researchers, engineers, and financial industry professionals using statistical models to generate superior investment returns. The investment teams are supported by the firm’s proprietary, state-of-the-art technology, and data platform. They are passionate about implementing scientific and mathematical methods to explore and solve problems in the global financial markets

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