Quantitative Trading Researcher

Tower Research Capital; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

Tower Research Capital in Singapore seeks a Quantitative Trading Researcher to join one of our trading teams. You will use our in-house trading system to develop and deploy algorithmic strategies based on patterns in market behavior.

The role requires strong math, programming in C++ and Python, and hands-on experience with back-testing, data mining, and market microstructure. You will contribute to scalable research tools and collaborate with experts.

Qualifications

• Masters degree in computing, statistics, mathematics or a related field.
• 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

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

Skills

C++

Python

Back-testing

Data mining

Statistics

Education

MS in Computing/Statistics

Job description

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