Quantitative Trader & Researcher — Systematic Trading

AAA Global; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

AAA Global in Singapore seeks talented Quantitative Researchers and Traders to develop and implement systematic trading strategies across global markets. You will analyze market data, test ideas and work with traders and tech teams to move research into live trading.

We value strong foundations in mathematics and programming, with experience in alpha research, backtesting and high-frequency to mid-frequency trading.

Qualifications

• Strong mathematical and statistical foundations required.
• Experience with alpha research and strategy development.
• Proficiency in backtesting, simulation and statistical techniques.

Responsibilities

• Research, develop and implement quantitative trading strategies and algorithms.
• Identify, investigate and develop high-frequency to mid-frequency trading alphas.
• Analyze large-scale market data, tick data, order book dynamics and market microstructure to identify predictive patterns and trading opportunities.
• Develop and improve statistical models, signal-generation techniques and systematic trading strategies.
• Conduct extensive backtesting, simulation and performance analysis of trading strategies.
• Research market inefficiencies, execution strategies and opportunities across different asset classes.
• Monitor strategy performance, optimise existing models and continuously improve trading performance.
• Collaborate with quantitative researchers, traders and technology teams to take strategies from research to live deployment.

Skills

Analytical thinking

Data mining

Quantitative modelling

Independent research

Education

Bachelor's/Master's/PhD in quantitative fields

Tools

Python

C++

Backtesting tools

Job description

AAA Global in Singapore seeks talented Quantitative Researchers and Traders to develop and implement systematic trading strategies across global markets. You will analyze market data, test ideas and work with traders and tech teams to move research into live trading.

We value strong foundations in mathematics and programming, with experience in alpha research, backtesting and high-frequency to mid-frequency trading.