Quantitative Trader / Researcher - APAC

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks talented and experienced Quantitative Traders and Researchers. As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's 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 trading algorithms Researching high to mid frequency alphas Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns Creating tools to analyze data for patterns and developing data platforms Contributing to libraries of analytical computations to support market data analysis and trading Developing, augmenting and calibrating exchange simulators Qualifications A Bachelors, Masters or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree Experience in quantitative trading is preferred but not a requirement A strong background in mathematics and statistics 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 Familiarity with signal generation and statistical models Strong programming skills in Python or C++

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks talented and experienced Quantitative Traders and Researchers.