Senior Data Engineer / Time-Series Data & Python / Tier One Hedge Fund
Summary
Builds and scales data pipelines for a quantitative hedge fund, focusing on high-frequency time-series data to support trading strategies and research.
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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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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