- North Bridge Road Downtown Core Central Region (Singapore) Singapore
Tower Research Capital Hiring! Full Time Quantitative Trading Researcher in Central Region (Singapore), Earn up to SGD 23,000 - Ricebowl
Quantitative Trading Researcher
Tower Research Capital
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Job Description
Responsibilities
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 one year of professional experience in quantitative trading, or relevant internship experience.
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
TOWER RESEARCH CAPITAL (SINGAPORE) PTE. LTD.
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 one year of professional experience in quantitative trading, or relevant internship experience.
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
TOWER RESEARCH CAPITAL (SINGAPORE) PTE. LTD.
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