Python Quant Developer

Overview

In this role you will advance quantitative research and platform development for a growing hedge fund. You will work closely with a dedicated team to translate research ideas into scalable, real-world algorithms. You’ll explore data patterns, machine learning, and latency-focused tech to push trading strategies forward. The role combines deep technical work with a research mindset in a relaxed, high-performance environment.

Pay / Benefits

• relaxed, open atmosphere
• informal dress code
• opportunity to work with leading tech
• high earnings potential
• focus on cutting-edge research
• team + individual development

Responsibilities

• Independent strategy research
• Platform development
• Model implementation and execution
• Translating research models into real-world algorithms
• Execution optimization and latency research
• Machine learning research
• Collaborative development in a fast-paced team

Key requirements

• PhD in Maths, Stats or Computer Science
• Strong Python fundamentals
• Linux exposure (ideally)
• Open source involvement
• Experience with relational and non-relational databases (with/without ORM)
• Java or C++ interest
• Strong interest in quantitative problems

• data-driven problem solving
• strong analytical mindset
• collaborative and independent work
• Python
• Linux
• Open source tooling

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