Quantitative Researcher (Trading Systems & Strategy)

PEACEBIRD MANAGEMENT PTE. LTD.

Singapore, Singapore
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Python pandas scikit-learn proficiency
Expert-level excel nested logic lambda
Swing trading methodology vcp canslim
** PEACEBIRD Fund Management is seeking a Quantitative Researcher to enhance their swing trading strategies through a hybrid role that combines quantitative analysis with direct trading execution. The ideal candidate will have experience in developing and optimizing trading systems while collaborating closely with a Portfolio Manager. **

Job Summary

  • The role involves bridging the gap between historical data analysis and live market execution for a high-performance swing trading strategy.
  • Candidates will develop volatility-adjusted position sizing models using ATR-based metrics to maintain a thin risk profile.
  • Success requires a trader-scientist mindset that combines system discipline with curiosity to find hidden edges using machine learning.

Matching Summary

Match Score: 75

** PEACEBIRD Fund Management is seeking a Quantitative Researcher to enhance their swing trading strategies through a hybrid role that combines quantitative analysis with direct trading execution. The ideal candidate will have experience in developing and optimizing trading systems while collaborating closely with a Portfolio Manager. **

Skills & Requirements

Must-have

  • Python Pandas Scikit-learn proficiency
  • Expert-level Excel nested logic Lambda
  • Swing trading methodology VCP CANSLIM
  • Walk-forward analysis implementation
  • HK and US equity market execution

Nice-to-have

  • Machine learning for hidden edge discovery
  • CFA or FRM certification preferred
  • Fluent in Mandarin and English
  • Deep understanding of asymmetric risk
  • Experience with S&P Capital IQ

Key Requirements

  • Bachelor's degree in quantitative field
  • 1–3 years active trading experience
  • Proficiency in Expectancy and Sharpe ratios

Work Rights

Not specified

Tailored Resume

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