Crypto Jobs
Job Description
About Binance
Binance is the world’s leading blockchain ecosystem and digital asset exchange, trusted by over 250 million users in 100+ countries .
Our mission is to advance the freedom of money through innovation in crypto trading, Web3, and financial access.
Role Overview
As a Data Scientist – Trading Insight , you will work on developing and optimizing quantitative strategies that power Binance’s trading systems.
This is a high-impact, technical role that combines data science, trading strategy, and machine learning in the fast-moving world of crypto.
Key Responsibilities
- Strategy Development : Design and refine algorithmic trading strategies using statistical modeling and machine learning
- Market Signal Research : Mine massive datasets (order book, tick-level, on-chain, macro) for predictive indicators and alpha
- Backtesting & Simulation : Build simulation frameworks to validate trading hypotheses under various scenarios
- ️ Execution Optimization : Collaborate with engineers to integrate models into low-latency systems
- Portfolio Analytics : Perform post-trade analysis and contribute to performance decomposition and optimization
Qualifications
- Bachelor's, Master’s, or PhD in Computer Science, Math, Statistics , or related field
- 3+ years (mid-level) or 6+ years (senior) in quantitative or algorithmic trading
- Strong coding skills in Python (NumPy, pandas, scikit-learn, PyTorch); C++ experience is a plus
- Experience with market microstructure and tick-level/order book data
- Solid foundation in probability theory , time-series modeling , and optimization
- Bonus: Familiarity with kdb+/q , high-frequency trading systems, and crypto market structure (CEX/DEX/derivatives)
Why Join Binance?
Shape the future of finance
Collaborate globally in a flat, fast-moving org
Work with autonomy on cutting-edge problems
Grow through continuous learning and real-world impact
Competitive pay and comprehensive benefits
Remote flexibility depending on team needs
Apply Now
Join Binance and help redefine the boundaries of trading and data science.
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