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Open nowPosted 7 days ago

Quantitative Researcher Intern (Trading Systems & Strategy)

MyCareersFuture94,028 open roles

Pay
SGD 1,500 – SGD 1,800 a month
Where
Central, Singapore
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Your applicationOpen nowQuantitative Researcher Intern (Trading Systems & Strategy)MyCareersFuture · Central, Singapore

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  2. 3.3%3 days
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  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 7 days ago

The posting

Company Overview

PEACEBIRD Fund Management is a specialist investment firm focused on high-performance swing trading. We are seeking a Quant-Hybrid Intern 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 < 0.5% per trade).
  • 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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