Quantitative Trading Strategy Algorithm Engineer

📋 Description

• Factor Mining & Validation: Discover, construct, and validate trading factors from multi-source
• Factor Prediction Modeling: Design and optimize prediction models using machine learning and deep
• Strategy Design & Backtesting: Lead the design, backtesting, and live deployment validation of
• Quant Strategy Pipeline Development: Build and refine the end-to-end quantitative trading strategy
• Trading System Integration: Collaborate with engineering and data teams to solve technical
• Cross-Market AI Trading: Explore the adaptation and implementation of AI-driven trading across both

🎯 Requirements

• Master's degree or above in Computer Science, Mathematics, Statistics, Financial Engineering
• Proven experience in quantitative trading strategy R&D, familiar with the full workflow of
• Proficient in Python, with hands-on experience applying ML/DL methods in quantitative scenarios and
• Familiarity with trading mechanisms and data characteristics of at least one market (equities
• Experience building a complete strategy pipeline or quantitative research platform, with the
• Strong research capability and results-driven mindset, with the ability to continuously optimize

🎁 Benefits

• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business