Quantitative Trading Researcher

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower Research Capital seeks a Quantitative Trading Researcher to join one of our trading teams in Singapore. As a Quantitative Trading Researcher, 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 Designing, implementing, and deploying high-frequency trading algorithms Exploring trading ideas by analyzing market data and market micro-structure for patterns Creating tools to analyze data for patterns Contributing to libraries of analytical computations to support market data analysis and trading Developing, augmenting, and calibrating exchange simulators Qualifications At least a Masters Degree in computing, statistics, mathematics or a related field from a top-tier university At least 3 years professional experience in quantitative trading 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