Quantitative Data Engineer for Systematic Investing
Summary
Builds and maintains a data platform for financial market data used in quantitative investing, backtesting, and trading signals.
Millennium is seeking a Data Engineer to join the Systematic Volatility team in Hong Kong. You will build a data platform for referential and pricing data, work with data scientists and analysts on end-to-end data lifecycle, and support researchers and portfolio managers with data for signal generation, backtesting and trading.
The role emphasizes quantitative investing, production coding in Linux, and proficiency in Python, C++, or Java, with experience in databases/SQL and option-related