Quantitative Developer (Data Engineering)

Job Description

Based in Central, Hong Kong, our client is a premier, tech-forward quantitative fund managing global cross-asset portfolios within a merit-driven culture that balances elite performance with continuous learning, mutual respect, and work-life balance. ROLE: Quantitative Developer (Data Engineering) Key Responsibilities • Pipeline Engineering: Architect and manage high-throughput Python/cloud ETL systems for massive financial data streams. • Performance Tuning: Detect infrastructure bottlenecks to accelerate data ingestion and distribution speeds. • Data Integrity: Build automated quality-assurance monitors and outlier-detection tools for research and live trading. • Research Support: Partner with quants to clean, structure, and onboard novel alternative data sources. • Risk Analytics: Construct interactive visualization dashboards for portfolio attribution and risk modeling. • System Monitoring: Oversee daily pipeline health to guarantee punctual data delivery. Show More