Senior Market Data Platform Engineer HFT / Quant Trading

About the Role

We are looking for a senior Market Data Platform Engineer to build and optimize high-performance data infrastructure supporting quantitative research, trading, and execution. This role sits close to the trading business and requires a strong understanding of how market data is consumed—not just how databases are built.

We are particularly interested in candidates from buy-side quantitative trading, proprietary trading, HFT, or systematic investment firms, rather than traditional banking environments.

Key Responsibilities

• Design and optimize market data platforms and databases supporting quantitative research, trading, and execution.
• Build and maintain pipelines for real-time/live market data, including tick, order book, trade, reference, and other trading-related datasets.
• Own data ingestion, cleansing, normalization, validation, storage, and distribution to ensure high-quality and reliable datasets.
• Work with large-scale historical and real-time datasets, optimizing database architecture, query performance, latency, and data accessibility.
• Partner closely with Quant Researchers, Traders, and Execution teams to understand how data is used and translate trading requirements into scalable data solutions.
• Evaluate data quality, identify gaps or anomalies, and develop processes to improve the accuracy and usability of market data.
• Contribute to the architecture and evolution of the firm's broader buy-side trading data platform.

Requirements

• 5+ years of relevant experience in Market Data, Trading Data Platforms, Quant Data Infrastructure, or high-performance Data Engineering.
• Strong preference for experience within buy-side, HFT, proprietary trading, quantitative hedge funds, or systematic trading firms.
• Deep hands-on experience with market data, including real-time feeds, tick data, order book data, trades, and historical datasets.
• Strong experience in data cleansing, normalization, data quality management, and large-scale database/data platform optimization.
• Strong database architecture knowledge, with the ability to contribute to DB design from a trading/data-user perspective, not only infrastructure implementation.
• Good understanding of quantitative trading workflows and how market data supports research, strategy, execution, and trading analytics.
• Excellent communication and presentation skills, with proficiency in both English and Chinese to effectively engage regional Chinese-speaking stakeholders.

Ideal Profile

Someone currently working as a Senior Market Data Engineer / Market Data Platform Engineer / Quant Data Engineer / Trading Data Platform Lead / Head of Data Engineering within a strong buy-side or HFT environment, who understands both the engineering side and how traders/quants actually consume the data.