| Company | Global Hedge Fund |
| Company Info | Global Quantitative and systematic investment Manager. |
| Job Title | Quantitative Data & Research Engineer |
| Job Short Desc | Build the datasets powering quantitative research and trading. Combine Python, financial data and innovative extraction techniques to solve complex challenges and accelerate high-quality data into production. |
| Salary | Variable based on experience |
| Locations | APAC - Hong Kong (China) |
| Visa | Y |
| Job Summary | Join a high-performance data engineering team working directly with quantitative researchers and traders to unlock the value of financial data. As a Quantitative Data & Research Engineer, you’ll design and build datasets supporting systematic strategies and trading decisions, extract and transform data from diverse sources, and manage new datasets through to production. You’ll proactively solve data-quality and engineering challenges while experimenting with innovative extraction techniques and AI-powered development tools to improve productivity. The role is ideal for an experienced data engineer with advanced Python skills, strong SQL and database knowledge, rigorous attention to data correctness and a genuine interest in financial markets and quantitative investing. |
| Criteria | | Build datasets supporting quantitative research and trading strategies | | Onboard and optimise diverse financial data sources | | Engineer data pipelines using Python, Pandas and Polars |
|
| Apply | Apply |