We are collaborating with a dynamic global hedge fun specializing in quantitative strategies across global markets. Their mid-frequency global equities trading team is expanding in Singapore, looking for an experienced Quantitative Researcher to join the team.
They are seeking a Quantitative Researcher with a strong focus on equities to develop and implement mid-frequency systematic trading strategies in global equities. The ideal candidate will have a deep understanding of equity markets, statistical modeling, and programming, with hands-on experience in the end-to-end alpha generation processfrom signal ideation and research to backtesting, implementation, and live deployment.
Key Responsibilities
- Design, backtest, and optimize quantitative models for mid-frequency equity trading, including signal generation, factor analysis, and portfolio construction in global markets.
- Lead the end-to-end alpha generation process, including data sourcing, hypothesis testing, model development, risk assessment, and integration into production systems.
- Analyze large datasets from global equity markets, including price, volume, fundamental, and alternative data sources.
- Collaborate with portfolio managers to integrate research into live trading strategies.
- Monitor and refine existing models to adapt to changing market conditions.
- Present findings and recommendations to senior stakeholders through reports and visualizations.
Required Qualifications
- Advanced degree (Master's or PhD) in Quantitative Finance, Mathematics, Statistics, Computer Science, Physics, or a related field.
- 5+ years of experience in quantitative research, preferably in equities at a hedge fund, asset manager, or investment bank, with a strong background in end-to-end alpha generation processes.
- Proficiency in programming languages such as Python, R, or C++ for data analysis and model development.
- Strong knowledge of equity market microstructure, factor models (e.g., Fama-French), and risk management techniques.
- Exposure to global equities markets (beyond China-specific experience preferred).
