We are seeking a Quantitative Researcher to join our APAC trading team, focused on developing systematic strategies across regional markets. This is a front-office role working closely with traders and technologists to research, build, and deploy alpha-driven trading strategies in a fast-paced, data-driven environment.
The successful candidate will play a key role in identifying market inefficiencies across APAC equities, futures, and related instruments, with a strong emphasis on high-quality research and robust implementation.
Responsibilities
- Design, develop, and deploy systematic trading strategies across APAC markets
- Conduct research on mid- to high-frequency alpha signals using a broad range of datasets
- Analyse market data, microstructure dynamics, and alternative data sources to identify trading opportunities
- Build and enhance data pipelines and analytical tools to support large-scale pattern discovery
- Contribute to core quantitative libraries supporting signal generation, backtesting, and execution
- Develop and refine exchange simulators to accurately model regional market behaviour and execution dynamics
- Collaborate closely with traders and technologists to translate research into production-ready strategies
- Qualifications Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Computer Science, or a related STEM discipline
- Prior experience in quantitative trading or systematic research is advantageous but not essential
- Strong grounding in probability, statistics, and mathematical modelling
- Experience with backtesting frameworks, simulation techniques, and statistical methods (e.g. time series analysis, auto-correlation, PCA)
- Proven ability to work with large-scale datasets, including high-frequency or tick-level data
- Familiarity with alpha signal development and statistical modelling techniques
- Strong programming skills in Python and/or C++