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Data Scientist - Trading insight
Singapore
Engineering – Data Science/AI /
Hybrid
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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
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.
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• 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 (the arrangement may vary depending on the work nature of the business team)
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.
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What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.