About the Role
Architect the next generation of alpha. Applies advanced statistical methods and machine learning to decode market microstructure and forecast price dynamics. You will deal with massive datasets and build predictive models that drive our automated trading systems.
What You'll Do
- Develop and backtest high-frequency trading signals using statistical and machine learning techniques.
- Analyze large-scale market data to identify predictive features and structural inefficiencies.
- Optimize portfolio construction and trade execution algorithms to minimize slippage and maximizing returns.
- Conduct rigorous research into market microstructure and exchange dynamics.
- Work closely with traders and developers to deploy production-ready strategies.
- Continuously monitor and improve existing strategies to adapt to changing market conditions.
What You Bring
- Ph.D. or Masters degree in a quantitative field (Mathematics, Physics, Computer Science, Statistics, or related).
- Strong programming skills in C++, Python, or Rust.
- Deep understanding of probability, statistics, and time-series analysis.
- Experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) applied to financial data.
- Curiosity, creativity, and a rigorous scientific approach to problem-solving.
- Fluent in English. Proficiency in Chinese is good to have.
What You'll Get
- A highly competitive compensation package including a percentage of PnL generated.
- Access to proprietary datasets and world-class computing infrastructure.
- A collaborative research environment that values innovation and intellectual honesty.
- Relocation support to Singapore.
- Full health, dental, and vision insurance.
- The opportunity to solve some of the most challenging problems in modern finance.