Quantitative Researcher (Trading Systems & Strategy)

About the role

Company Overview PEACEBIRD Fund Management is a specialist investment firm focused on high-performance swing trading. We are seeking a Quant-Hybrid Analyst to join our team. Unlike traditional quant roles that focus solely on "black box" models, you will work directly with the Portfolio Manager to refine and optimize a market-beating strategy rooted in trend following and asymmetric risk. You will be responsible for bridging the gap between historical data analysis and live market execution. Core Responsibilities Factor Engineering: Research and develop momentum, technical, and fundamental factors using S&P Capital IQ and Python/Excel. Focus on "Synthetic RS" and acceleration metrics. System Optimization: Perform "Walk-Forward Analysis" on core setups to identify non-linear relationships and reduce "noise" in entry signals. Performance Auditing: Maintain a rigorous "Market Diary" of all trades; calculate MAE (Maximum Adverse Excursion) and MFE (Maximum Favorable Excursion) to refine stop-loss placement and profit-taking logic. Risk Modeling: Develop and maintain volatility-adjusted position sizing models (ATR-based) to maintain a "Thin Risk" profile (Risk of Ruin Trade Execution: Execute trades in HK and US equity markets, ensuring minimal slippage and adherence to systematic entry triggers. Market Intelligence: Monitor global news, earnings catalysts, and regulatory shifts to identify potential industry group rotations. Qualifications & Skills Domain Expertise: Deep familiarity with professional swing trading methodologies (e.g., VCP, CANSLIM, and Institutional Momentum). Technical Stack: Expert-level Excel (Nested logic, Lambda, Array formulas). Proficiency in Python (Pandas, Scikit-learn) or SQL is highly preferred for data manipulation. Quant Literacy: Absolute proficiency in calculating Expectancy, Profit Factor, and Sharpe/Sortino ratios without assistance. Education & Experience: Bachelor's degree in a quantitative field (Finance, Math, CS). CFA/FRM is a plus. 1-3 years of active trading or research experience specifically in HK and US Markets. Communication: Fluent in Mandarin and English to effectively communicate with stakeholders and analyze regional market data. The Ideal Candidate You are a "Trader-Scientist." You understand that a backtest is only as good as its underlying logic. You possess the discipline to follow a system but the curiosity to use machine learning to find the "hidden edges" that others miss.

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