Our client is a multinational Asset Management firm seeking an experienced trader to manage their portfolios

Responsibilities:

• Research, develop, and manage low-frequency strategies for stocks
• Design algorithms and models for trading decisions
• Simulate, test, and optimize trading strategies
• Monitor market conditions and make necessary adjustments
• Collaborate with team members to analyze performance and identify improvements
• Stay updated on market trends and developments

Requirements:

• Master’s or Ph.D. degree from a prestigious university
• Minimum 3 years of experience in medium to low-frequency stock strategies
• Strong programming skills in Python and C++
• Excellent logical thinking and communication skills in English and Chinese
• Proactive and team-oriented mindset
• Strong analytical abilities and commitment to results