Job Description

About Us:

We are a well-funded and rapidly growing hedge fund with offices in London, NY, Hong Kong and Singapore, specializing in quantitative trading strategies.

Our team consists of world-class researchers, technologists, traders/portfolio managers dedicated to developing cutting-edge models and executing high-performance trading strategies across multiple asset classes, with a primary focus on Equities and cross-asset Futures trading.

Job Description:

We are seeking a highly skilled and motivated Quantitative Traders/Portfolio Managers seeking the best technology platform, capital, IP freedom and competitive profit share.

We are considering a range of candidates, from highly tracked PMs to SubPMs/Sr quants with own strategies , HFT or MFT, the set up (silo mode or collaborating/getting support from quantitative researchers and developers) will depend on one's experience/seniority.

Key Responsibilities:

• Develop and implement algorithmic trading strategies across Equities or cross-asset Futures markets.
• Optimize and enhance existing trading algorithms to improve performance and scalability.
• Monitor and analyze trading performance, identifying areas for improvement.
• Ensure execution efficiency and manage trading risks effectively.
• Stay up-to-date with market trends, regulatory changes, and technological advancements.
• Collaborate with technology team to enhance trading infrastructure and execution systems.

Qualifications & Requirements:

• Experience developing and trading own high or mid-frequency strategies.
• Bachelor's, Master's, or PhD in a quantitative field such as Mathematics, Computer Science, Engineering, Finance, or a related discipline.
• 4+ years of experience in algorithmic trading, either high-frequency or mid-frequency (Intraday to weeks average positions holding).
• Strong quantitative and statistical modeling skills.
• Experience with market microstructure, execution algorithms, and order book dynamics.
• Strong understanding of risk management techniques and portfolio optimization.
• Ability to work in a fast-paced, high-pressure environment with strong decision-making skills.

Preferred Qualifications:

• Trading track record
• Use of alternative data sets, knowledge of machine learning techniques.
• Hands-on programming, Python, C++/C#, etc.

What We Offer:

• Highly competitive compensation, including base salary, performance-based bonus/Pnl cut.
• A dynamic, collaborative, supportive work environment with top-tier talent.
• Truly cutting-edge technology and research tools.
• Competitive payout and comprehensive benefits package.
• Option of working in NYC, London, Singapore, HK or remotely.
• No non-compete, liberal terms
• Considering employee and SMA arrangements

If you are passionate about algorithmic trading, we encourage you to apply and be part of our growing success.

How to Apply:

Please submit your resume and a cover letter detailing your experience and interest in the role. We're are ultra-discreet and honor confidential inquiries.

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