Job Description

Senior Data Developer Hedge Fund | New York (Hybrid)

Are you an experienced data developer who loves building fast, reliable systems that fuel quantitative trading and risk management ?

A global multi-strategy fund is expanding its New York data team to build the next generation of its market data platform , working directly with quants, PMs, and traders to power insights that drive investment returns.

Youll:

• Develop scalable ETL pipelines in Python for high-volume financial data.
• Build cloud-based data lake environments (AWS / Databricks).
• Implement robust data validation and quality checks.
• Work with researchers to design pipelines for modeling and back-testing.
• Document and maintain the firms core data architecture.

Requirements:

• 5+ years of Python development (Pandas, SQL, Linux environment).
• Hands-on experience building data solutions for trading, research, or risk.
• Deep technical curiosity and strong problem-solving skills.
• Strong knowledge of market data and financial time-series.
• Bachelors or higher in a quantitative or technical discipline.
• Experience with Kafka or other streaming technologies. (nice to have)
• Understanding of financial market data, symbology, and reference data across equities, futures, credit, indices, and OTC asset classes.(nice to have)

Preferred:

Kafka or streaming systems, AWS cloud architecture, experience in hedge-fund or prop-trading environments.

📍 New York City (Hybrid, 23 days in office)

💰 Highly competitive base + performance bonus

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