Quantitative Data Engineer
Core
Build and maintain robust ETL/ELT pipelines and data warehouses to manage large-scale datasets for quantitative research, factor modeling, and portfolio construction.
Role type
Quantitative Data Engineer
Builds
Firm-wide data infrastructure, data warehouses, and automated data collection/cleansing processes
Domain
Financial services / Quantitative trading
Deliverable
production ML models | infrastructure
Required skills
C++, Python (Pandas, NumPy), large dataset management, live data streaming, data governance, symbol mapping (ISIN, CUSIP, SEDOL, RIC, Bloomberg Ticker), prime brokerage data mapping
Preferred skills
Experience in buy side quant firms, sell side prime brokers, or big data vendors
Technologies
Pandas, NumPy
Responsibilities
Identify and evaluate data sources, develop ETL/ELT pipelines, oversee automated data collection and cleansing, align global equity datasets with trading venues and broker conventions
Seniority
Mid-level, hands-on IC