Senior Data Engineer / Time-Series Data & Python / Tier One Hedge Fund

Overview

Our client is a leading global quantitative hedge fund, known for its data-driven investment approach and strong focus on systematic trading. With a significant presence across Asia, they invest heavily in technology and data infrastructure to support high-performance research and trading strategies.

This role focuses on building and scaling data infrastructure supporting trading and research, with a strong emphasis on handling high-frequency time-series data. You will work closely with quant researchers and engineers to design efficient data pipelines and ensure high-quality, reliable datasets for trading strategies.

Requirements

• Strong Python for data engineering and pipeline development
• Experience working with time-series data (market data, tick data, etc.)
• Solid understanding of data pipelines, ETL, and large-scale data processing
• Experience with time-series or distributed databases
• Familiarity with Linux environments

Why Apply

• Direct impact on trading and research performance
• Work with high-quality data in a performance-driven environment
• Strong engineering culture within a leading hedge fund

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