Quantitative Developer

Ludisia (Cayman) Ltd. Singapore Branch seeks a Quantitative Developer to join one of our trading teams in Singapore. As a Quantitative Developer, you will be using in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities

• Contributing new software components both for live trading and research that scale effectively
• Designing and extending data-intensive ETL pipelines
• Profiling and optimizing the hot paths of the codebase for performance
• Building and maintaining continuous integration pipelines
• Enhancing the live system’s stability and observability via monitoring and alerting
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators

Qualifications

• At least a Bachelors Degree in computing, statistics, mathematics or a related field from a top-tier university
• Previous internship or professional experience in high-frequency trading is advantageous
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Good experience with signal generation and statistical models
• Strong programming skills in C++ and Python