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- Tasks: Research and develop trading strategies using data analysis and Python/Excel.
- Company: Join PEACEBIRD Fund Management, a leader in high-performance swing trading.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Fluent in Mandarin and English; ideal for curious, disciplined 'Trader-Scientists'.
- Why this job: Be a part of a cutting-edge team that optimises market-beating strategies.
- Qualifications: Bachelor's degree in a quantitative field and experience in trading or research.
The predicted salary is between 60000 - 80000 £ per year.
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 < 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.
Quantitative Researcher (Trading Systems & Strategy) employer: PEACEBIRD MANAGEMENT PTE. LTD.
Contact Detail:
PEACEBIRD MANAGEMENT PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher (Trading Systems & Strategy)
✨Tip Number 1
Network like a pro! Reach out to professionals in the trading and quantitative research space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Excel, or any trading strategies you've developed. This will give potential employers a taste of what you can bring to the table beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your quant knowledge and trading methodologies. Be ready to discuss your thought process behind factor engineering and risk modeling. Practising common interview questions can help you articulate your expertise confidently.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with swing trading and your technical skills, and don’t forget to follow up after applying to show your enthusiasm!
We think you need these skills to ace Quantitative Researcher (Trading Systems & Strategy)
Some tips for your application 🫡
Show Your Quant Skills: Make sure to highlight your experience with quantitative analysis and trading methodologies in your application. We want to see how you've used tools like Python and Excel to develop strategies or analyse data, so don’t hold back!
Tailor Your Application: Take the time to customise your CV and cover letter for this role. Mention specific experiences that relate to swing trading and the responsibilities listed in the job description. This shows us you’re genuinely interested and have done your homework.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your skills and experiences. We appreciate a well-structured application that’s easy to read and understand.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at PEACEBIRD MANAGEMENT PTE. LTD.
✨Know Your Quantitative Stuff
Make sure you brush up on your quantitative trading methodologies like VCP and CANSLIM. Be ready to discuss how you've applied these concepts in your previous roles, especially in relation to trend following and risk management.
✨Show Off Your Technical Skills
Since the role requires expert-level Excel and proficiency in Python or SQL, prepare to demonstrate your skills. You might be asked to solve a problem on the spot, so practice using nested logic and data manipulation techniques beforehand.
✨Understand the Market Landscape
Familiarise yourself with current market trends, news, and regulatory changes that could impact trading strategies. Being able to discuss recent events and their potential effects on the markets will show that you're engaged and informed.
✨Communicate Clearly and Confidently
As communication is key in this role, practice articulating your thoughts clearly in both Mandarin and English. Be prepared to explain complex concepts in a way that's easy to understand, as you'll need to collaborate closely with the Portfolio Manager.