Binance Accelerator Program - Quantitative Trading Strategy Algorithm

📋 Description

• Participate in the discovery, construction, and validation of trading factors, exploring effective
• Participate in the design and optimization of factor prediction models, applying machine learning
• Participate in the design, backtesting, and validation of trading strategies, assisting with signal
• Participate in building the quantitative trading strategy pipeline, helping to streamline the
• Track frontier methods in quantitative and AI-driven trading, conducting exploratory research that

🎯 Requirements

• Current Master's or PhD student in Computer Science, Mathematics, Statistics, Financial
• Strong interest in quantitative trading strategies, familiarity with factor mining and strategy
• Proficient in Python, knowledgeable about ML/DL methods applied in quantitative scenarios, and
• Understanding of trading mechanisms and data characteristics in at least one market (equities
• Strong learning ability and research enthusiasm, high initiative, and ability to continuously

🎁 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