Job Description
Quantitative Developer – Systematic Macro | Hedge Fund | Python | Infrastructure | New York
Location: New York
Position Type: Permanent
Salary: Competitive base + performance bonus + benefits
Start Date: Within 6 months (preference for sooner)
The Opportunity
A leading systematic investment team at a top-tier hedge fund is looking to hire a Quantitative Developer with a strong background in infrastructure and platform development to support its macro strategies. This is a unique opportunity to build next-generation internal research and trading systems, work closely with portfolio managers, and gain direct exposure to alpha research and strategy development.
With a flat structure, collaborative mindset, and strong focus on technical innovation, this team offers the ideal environment for a highly motivated developer to thrive and progress toward a hybrid Quant Developer / Researcher role.
The Role
You’ll play a critical role in the buildout and evolution of systematic trading infrastructure, helping develop robust systems that support data ingestion, strategy production, and live execution.
Key Responsibilities:
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Design and develop internal libraries and research platform components
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Build and manage scalable data pipelines
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Monitor and optimize production trading strategies
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Develop and maintain execution pipelines
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Collaborate with PMs and researchers to enhance trading infrastructure
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Contribute to systematic macro alpha research with future growth toward a quantitative researcher role
Skills & Experience
Core Technical Skillset:
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Strong programming experience with Python
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Solid understanding of data analytics libraries (e.g., Pandas, NumPy, SciPy, Polars)
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Proficiency in designing scalable, efficient infrastructure and research tools
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Degree in a quantitative discipline – Masters or PhD preferred (Maths, Engineering, CS, Physics, Stats)
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Exceptional analytical, debugging, and problem-solving skills
Preferred Background:
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2–5 years of experience in a quant trading environment
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Proven experience building internal libraries and infrastructure in a trading context
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Exposure to macro/intraday strategies is a strong plus
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Interest or experience in machine learning for trading is a plus
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Clear ambition to grow into a quant developer-researcher hybrid role
Why Join?
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Impactful role on a growing and high-performance systematic macro team
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Close collaboration with senior PMs and researchers
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Career path toward a hybrid developer/researcher function
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Exposure to front-office systems and alpha generation
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Competitive compensation and career progression opportunities
Apply now or get in touch for more information on this exciting opportunity.