Quantitative Trader

About Us:

We are a well-funded and rapidly growing hedge fund headquartered in US, with office in Europe and Asia, 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, 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
• Knowledge of machine learning and data-driven trading strategies.
• 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.
• Comprehensive benefits package.
• Option of working in NYC, London, Singapore, HK or remotely.

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.