Quantitative Researcher
Celestial Tech Pte Ltd
- Singapore River, Singapore
- Permanent
- Full-time
- Design, develop, and validate alpha-generating strategies based on historical data
- Analyze the expected value and risk profile of trading ideas under various conditions
- Conduct large-scale simulations to test stop/target logic, position sizing, and execution risk
- Transform discretionary patterns or observed market behavior into rule-based strategies
- Collaborate with data engineering and ML teams to integrate signals and optimize performance
- Monitor live performance and iterate on strategy logic based on real-world feedback
- 2–5 years of experience in a quantitative trading, research, or strategy role
- Strong background in statistics, applied mathematics, or a related field·
- Proficient in C++, Python (pandas, numpy); SQL or other data query languages a plus·
- Experience working with large historical datasets (tick/intraday preferred)·
- Familiarity with market microstructure and real-world execution dynamics·
- Deep understanding of risk-adjusted performance metrics and strategy evaluation frameworks
InternSG