Binance Accelerator Program - Quantitative Trading Strategy Algorithm
Core
Develop AI-driven trading strategies for traditional equities and on-chain assets through factor discovery, model optimization, and system construction.
Role type
Quantitative Trading Strategy Algorithm Intern
Builds
AI-driven trading systems for equities and on-chain assets
Domain
Quantitative finance, machine learning, digital assets
Deliverable
production ML models
Required skills
Python, machine learning, deep learning, financial time-series data handling, factor mining, strategy backtesting, risk control research
Preferred skills
reinforcement learning, DeFi/CEX/DEX exposure, Kaggle/quant competition experience, publications in finance/math modeling
Technologies
Python, ML/DL frameworks
Responsibilities
Discover and validate trading factors from multi-source data; design and optimize factor prediction models; design, backtest, and validate trading strategies; build quantitative trading strategy pipelines; track frontier methods in quantitative and AI-driven trading
Seniority
Intern, early career