Build Python software for quantitative research and trading at Squarepoint, partnering with researchers across asset classes. Design scalable workflows that support investment technology.
As a Quantitative Developer, you will work directly with quantitative researchers to design, implement, deploy, and use software. You will collaborate with technologists and research teams across asset classes to advance Squarepoint’s objectives. The work combines modern software development with quantitative applications, project ownership, and technical communication.
Key Responsibilities:

Design efficient workflows for quantitative research and trading
Build scalable software supporting research and trading activities
Collaborate with quantitative researchers on software development
Coordinate with technology peers to maximize component reuse
Own projects throughout their full engineering lifecycle
Requirements:

Degree in applied math, physics, engineering, quantitative finance, or computer science
Four or more years of Python experience
Experience with version control and agile development
Excellent technical communication skills
Experience designing software solutions is beneficial
Apply quantitative development expertise, Python experience, and lifecycle ownership to research and trading software at Squarepoint.

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Quantitative Python Developer