Data Engineer (Hedge fund, high frequency trading)

Your new company

A Chinese Hedge fund/ high frequency trading firm.

Your new role

• Data Acquisition & Integration – Identify and evaluate both traditional and alternative data sources for firm-wide use while developing robust ETL/ELT pipelines and data warehouses to efficiently manage large-scale datasets.
• Research & Strategy Development – Collaborate closely with investment teams to transform data into actionable insights, supporting quantitative research, factor modeling, portfolio construction, and strategic decision-making.
• Data Governance & Accuracy – Oversee automated data collection and cleansing processes, ensuring accuracy and reliability while maintaining symbol mapping libraries across exchanges, time zones, and asset classes.
• Market & Trading Infrastructure Alignment – Manage global equity datasets from various vendors, track corporate actions, align data with trading venues and broker conventions, and collaborate with PMs, researchers, and engineers to fulfill data requirements

What you'll need to succeed

• Advanced proficiency in C++ and Python (Pandas, NumPy), along with experience in working with large datasets and live data streaming
• Demonstrated success in maintaining high availability, accuracy, and reliability of data infrastructure within a trading or financial environment
• Experience in data engineering or quantitative data operations, preferably at a hedge fund, proprietary trading firm, or asset manager, with deep familiarity across global equity markets (North America, Europe, Asia-Pacific).
• Expertise in security identifiers (ISIN, CUSIP, SEDOL, RIC, Bloomberg Ticker) and prime brokerage data mapping.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology, contact Yuki Cheung or email [email protected]. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D