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About the Role:
- Build an AI-driven trading system covering traditional and on-chain assets.
- Collaborate with engineering and data teams for full lifecycle development.
Responsibilities:
- 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.
Requirements:
- 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.
Why Binance:
- Shape the future with a leading blockchain ecosystem.
- Collaborate with world-class talent in a flat, user-centric organization.
Binance
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.