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.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.BinanceBinance 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.