Quantitative Trading Strategy Algorithm Engineer (AI)

Location: Hong Kong / Remote

Company

Binance operates a global blockchain ecosystem spanning cryptocurrency trading, digital-asset finance, Web3, payments, research, education, and institutional services.

What you will do

• Discover, construct, validate, and continuously improve trading factors using market, fundamental, and on-chain data.
• Design and optimize machine learning and deep learning prediction models while controlling overfitting and strategy decay.
• Lead strategy design, backtesting, live-deployment validation, portfolio construction, risk control, and execution optimization.
• Build and refine the complete quantitative strategy pipeline from data ingestion and factor computation to prediction, backtesting, and live execution.
• Collaborate with engineering and data teams on data connectivity, low-latency execution, and reliable production deployment.
• Adapt AI-driven trading approaches across equities, futures, cryptocurrency, and other on-chain markets.

Requirements

• Master’s degree or higher in computer science, mathematics, statistics, financial engineering, physics, or a related field.
• Experience in quantitative trading strategy research and development, including factor mining, prediction, backtesting, live deployment, P&L, risk, and alpha decay.
• Strong Python skills and practical experience applying machine learning and deep learning to quantitative trading and large-scale financial time-series data.
• Understanding of trading mechanisms, market data, trading costs, liquidity, and execution slippage in at least one financial or cryptocurrency market.
• Experience building a complete quantitative research platform or strategy pipeline from data to live trading.
• Strong research skills and a results-driven approach in a fast-iteration environment.

Nice to have

• Experience managing capital at scale or generating sustained alpha in live trading.
• Cross-market experience spanning traditional finance and on-chain markets, including DeFi, CEX, or DEX.
• Experience with high-frequency trading, market making, or cross-market arbitrage.
• Experience applying large language models or reinforcement learning to trading strategies.

Culture & Benefits

• Work-from-home arrangement; the arrangement may vary depending on the business team’s work.
• Competitive salary and company benefits.
• Global, user-centric organization with a flat structure and international collaboration.
• Autonomy on fast-paced projects involving blockchain, AI, and digital assets.
• Opportunities for career growth and continuous learning.