Quantitative Trader / Researcher

Tower Research Capital, founded in 1998 by Mark Gorton, is a highly regarded global quantitative trading firm known for its pioneering approaches to algorithmic trading. Specializing in quantitative strategies and high-frequency trading (HFT), Tower Research leverages advanced mathematical models and high-speed data technology to execute a wide array of trading strategies across multiple asset classes, including equities, futures, options, and currencies. The firm's success is built on its robust technological infrastructure, innovative research capabilities, and a deep understanding of the dynamics of global financial markets.

• A Bachelors, Masters or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree
• Experience in high-frequency trading or 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 and/or C++