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Requirements
We are looking for experienced software engineers with exceptional Python skills, strong communication abilities, and a genuine interest in the world of quant finance. Finance experience is not required – we’re more interested in your ability to learn, collaborate, and write production-level code.
You must have:
•A Bachelor’s degree or higher in a technical field (e.g. Computer Science, Mathematics, Physics, Engineering)
•A GPA above 3.0 – with a strong preference for 3.5+
•A degree from a top 25 university (preferred)
•1+ years of hands-on software development experience
•Advanced proficiency in Python
•A track record of working in top-tier companies with no significant job-hopping
•Excellent communication skills – clear, concise and collaborative
•A genuine desire to work in quantitative finance
•Full commitment to onsite work, 5 days a week in NYC
Role & Responsibilities
You will work at the intersection of engineering and research, partnering with quantitative teams to build scalable systems and enhance productivity across the research pipeline.
Your impact may include:
•Building unified systems for data access, model development, backtesting and simulation
•Collaborating with researchers and traders to identify pain points and deliver new functionality
•Creating frameworks and APIs that support transparency and insight into investment strategies
•Enabling collaboration through scalable environments and tooling that support research sharing
•Owning end-to-end engineering processes, from design to deployment in a production trading environment
This is a highly collaborative, high-impact role within a close-knit, world-class team.
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If you're a strong Python developer with the drive to learn and the desire to apply your skills in a fast-paced, intellectually demanding environment – and you're ready to work onsite in New York – we’d love to hear from you.
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