Quantitative Trading Strategy Algorithm Intern (AI)

Location: Hong Kong; work-from-home arrangement may vary depending on the business team's work

Company

Binance operates a global blockchain ecosystem offering cryptocurrency trading, digital asset products, financial services, payments, education, research, and Web3 features.

What you will do

• Discover, construct, and validate trading factors using market, fundamental, and on-chain data.
• Design and optimize factor prediction models using machine learning and deep learning.
• Design, backtest, and validate trading strategies, including signal generation, portfolio construction, and risk control.
• Build and improve the quantitative trading strategy pipeline from data and factors through models and backtesting.
• Research emerging approaches in quantitative and AI-driven trading across traditional equities and on-chain assets.

Requirements

• Current Master's or PhD student in Computer Science, Mathematics, Statistics, Financial Engineering, Physics, or a related field.
• Strong quantitative foundation, programming skills, and availability for stable weekly internship hours.
• Interest in quantitative trading, with familiarity with factor mining, strategy backtesting, returns, and risk.
• Proficiency in Python, machine learning and deep learning methods for quantitative applications, and financial time-series data.
• Understanding of trading mechanisms and data characteristics in at least one traditional or crypto market.
• Strong learning ability, research enthusiasm, initiative, and ability to work in a fast-iterating environment.

Nice to have

• Quantitative research projects, competitions such as Kaggle or quant competitions, or related internship experience.
• Research experience spanning traditional finance and on-chain markets, including DeFi, CEX, or DEX.
• Experience applying machine learning or reinforcement learning to financial data or trading.
• Publications, open-source projects, or personal research in finance or mathematical modeling.

Culture & Benefits

• Three- to six-month internship in the digital assets sector for current students and recent graduates.
• Opportunities for networking, professional development, and continuous learning.
• Global, user-centric organization with a flat structure and collaboration with international talent.
• Autonomy in fast-paced projects and opportunities for career growth.
• Competitive salary and company benefits.
• Work-from-home arrangement, subject to the nature of the business team's work.

Hiring process

• Employment or engagement terms are determined by the contract and applicable local laws.