Quantitative Trading Strategy Algorithm Engineer; Fully Remote

• Build an AI-driven trading system covering traditional and on-chain assets.
• Collaborate with engineering and data teams for full lifecycle development.

• Discover, construct, and validate trading factors from diverse data sources.
• Design and optimize prediction models to improve signal accuracy and control overfitting.
• Lead backtesting and live deployment validation, owning strategy P&L.
• Build and refine the end-to-end quantitative trading pipeline.
• Explore AI trading across traditional and on-chain markets.

• Master's degree or above in a quantitative field.
• Proven experience in quantitative trading strategy R&D.
• Proficient in Python and skilled in ML/DL applications.
• Familiarity with market trading mechanisms and data characteristics.
• Strong research capability and results-driven mindset.

• Shape the future with a leading blockchain ecosystem.
• Collaborate with world-class talent in a flat, user-centric organization.

Binance is a leading global blockchain ecosystem and the world’s largest cryptocurrency exchange by trading volume, trusted by over 300 million users in 100+ countries. With a flat structure and world-class talent, the company fosters a fast-paced, results-driven culture focused on innovation and financial inclusion.