Binance Accelerator Program - Quantitative Trading Strategy Algorithm

About Binance

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, investor protections, and unmatched portfolio of digital asset products and offerings, spanning trading, finance, education, research, social good, payments, institutional services, and Web3 features. Binance is dedicated to building an inclusive crypto ecosystem to increase financial freedom and access globally using crypto as a fundamental mean.

Binance Accelerator Program (BAP)

The Binance Accelerator Program (BAP) is a 3-6 month internship designed for early-career talent to gain firsthand experience in the rapidly expanding digital assets space. Participants will develop skills within Binance and understand how to work at the world's leading blockchain ecosystem. The BAP also offers networking and development opportunities to expand professional networks and build transferable career skills.

Please learn more about the BAP Program. Employment terms are subject to contract and local applicable laws.

About the Role: Quantitative Trading Strategy Algorithm Intern

We are building an AI-driven trading system covering both traditional financial assets, such as equities, and on-chain assets. We are seeking a Quantitative Trading Strategy Algorithm Intern who is passionate about trading strategies to contribute to research spanning factor discovery, factor prediction, and trading strategy and system construction. This role combines quantitative research capabilities with AI technology to rapidly grow through real-world strategy R&D.

Responsibilities

• Participate in the discovery, construction, and validation of trading factors, exploring effective alpha signals from multi-source data including market data, fundamental data, and on-chain data.
• Participate in the design and optimization of factor prediction models, applying machine learning and deep learning methods to enhance signal predictive power and stability.
• Participate in the design, backtesting, and validation of trading strategies, assisting with signal generation, portfolio construction, and risk control research.
• Contribute to building the quantitative trading strategy pipeline, helping to streamline the R&D workflow from data to factors, models, and backtesting.
• Track frontier methods in quantitative and AI-driven trading, conducting exploratory research that combines the market characteristics of 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.
• Possess a strong quantitative foundation and programming skills, committed to stable weekly internship hours.
• Demonstrate a strong interest in quantitative trading strategies, familiarity with factor mining and strategy backtesting workflows, and a basic understanding of strategy return and risk.
• Proficiency in Python and knowledge of ML/DL methods applied in quantitative scenarios.
• Experience handling financial time-series data.
• Understanding of trading mechanisms and data characteristics in at least one market (equities, futures, or other traditional financial markets; or crypto and on-chain assets).
• Exhibit a strong learning ability, research enthusiasm, high initiative, and the capacity to continuously explore in a fast-iterating environment.

Nice to Have

• Course projects, competitions (e.g., quant competitions, Kaggle), or internship experience in quantitative research.
• Exposure to quantitative research across both traditional finance and on-chain markets (DeFi, CEX, DEX).
• Practical experience applying machine learning, reinforcement learning, or similar methods to financial data or trading scenarios.
• Publications, open-source projects, or personal research outcomes in finance or mathematical modeling.

Why Binance

• Shape the future with the world’s leading blockchain ecosystem.
• Collaborate with world-class talent in a user-centric, flat structure organization.
• Tackle unique, fast-paced projects with autonomy in an innovative environment.
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
• Competitive salary and company benefits.
• Work-from-home arrangement available (arrangement may vary depending on the business team's nature of work).

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