Data Scientist - Trading insight
Singapore
Binance
Binance is the largest cryptocurrency exchange by trading volume, serving 185M+ users across 180+ countries. With over 350 listed Altcoins, it is the world’s leading crypto exchange.Responsibilities
- Strategy Development:Design and optimize quantitative trading strategies using statistical modeling, machine learning, and data-driven insights across digital asset markets.
- Market Signal Research:Analyze large-scale datasets—including order book, tick-level, on-chain, and macroeconomic data—to identify predictive signals and alpha opportunities.
- Backtesting & Simulation:Build and enhance robust backtesting frameworks to validate trading hypotheses under various market conditions and stress scenarios.
- Execution Optimization:Collaborate with developers to integrate predictive models into low-latency trading systems and continuously improve execution performance.
- Portfolio Analytics:Conduct post-trade analysis, PnL decomposition, and contribute to systematic portfolio optimization initiatives.
Requirements
- Bachelor’s, Master’s, or PhD in Computer Science, Applied Math, Statistics, or related fields.
- 3+ years (mid-level) or 6+ years (senior) of experience in algorithmic or quantitative trading.
- Solid background in Python (NumPy, pandas, scikit-learn, PyTorch) and/or C++ for performance-critical components.
- Experience working with market microstructure data, including order books and tick-level data.
- Strong foundation in probability theory, time-series modeling, and optimization.
- Bonus: Experience with kdb+/q, columnar/time-series databases, or high-frequency trading systems. Bonus: Familiarity with crypto market structure, DEX/CEX dynamics, and derivatives trading.
- Excellent communication and documentation skills; Self-driven, curious, and passionate about building scalable trading systems with impact.
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Blockchain Computer Science Crypto Finance Machine Learning Mathematics NumPy Pandas PhD Privacy Probability theory Python PyTorch Research Scikit-learn Security Statistical modeling Statistics Trading Strategies
Perks/benefits: Career development Competitive pay Startup environment
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