Quantitative Trader

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

Requirements

• At least a Bachelors Degree in computing, statistics, mathematics or a related field from a top-tier university
• Prior internship experience in financial trading would be 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

Additional Information

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 Trader to join one of our trading teams in Singapore. As a Quantitative Trader, 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.

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