Data Scientist, Reinforcement Learning

Binance is a leading global blockchain eco

System behind the world’s largest cryptocurrency exchange by trading volume and registered users.

We are trusted by over 280 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 eco

System to advance the freedom of money and improve financial access for people around the world. About the RoleWe are building Block Tracer, Binance's next-generation blockchain compliance analytics platform.

As a Senior/Expert Algorithm Engineer, you will develop cutting-edge algorithms for transaction analysis, entity clustering, risk assessment, and pattern recognition.

This is a unique opportunity to work on real-world blockchain analytics at global scale, directly impacting the safety and compliance of the world's largest cryptocurrency exchange. Responsibilities: Entity Clustering Algorithm Development

1. Design address clustering algorithms for UTXO chains (Bitcoin, Litecoin, BCH) with near 100% accuracy

2. Develop Common-Spend clustering, EVM clustering, and multi-layer blockchain unification

3. Build cross-chain entity linking systems to track fund flows across blockchainsMachine Learning Model Development

1. Build and optimize risk scoring models to assess address and entity risk levels

2. Develop address evidence quality models with full audit trails

3. Create behavioral attribution models to classify unknown addresses

4. Implement change address prediction and anomaly detection algorithms Behavioral Pattern Recognition

1. Design heuristic algorithms to identify legitimate services (exchanges, wallets, DeFi)

2. Develop detection systems for illicit activities (mixers, scams, fraud contracts)

3. Build hot/cold wallet distinction and address rotation pattern recognitionAlgorithm Quality Assurance

1. Monitor algorithm performance and maintain 1% false positive rate

2. Conduct root cause analysis and implement improvements

3. Design A/B testing frameworks and establish performance benchmarks

4. Ensure algorithm explainability and auditability

Technical Innovation Research

1. Adapt algorithms for new blockchains and protocol updates

2. Research graph neural networks for risk propagation

3. Publish technical papers and contribute to blockchain analytics community



Requirements:Master's or Ph. D. in Computer Science, Mathematics, Statistics, or related fields5+ years of algorithm development, machine learning, or data science experience3+ years of blockchain technology and cryptocurrency analytics experience (preferred)Track record of deploying algorithms in production environmentsProgramming: Expert in Python; proficient in Scala/Java for big dataSQL DB: Advanced SQL (Hive/Spark/Trino); graph databases (Neo4j)Machine Learning: Strong ML foundation; scikit-learn, XGBoost, PyTorchGraph Algorithms: Graph theory, community detection, PageRank; GNN preferredBig Data: Spark, distributed computing, stream processingBlockchain: UTXO vs Account models, smart contracts, cross-chain bridgesMathematics: Statistics, probability, linear algebra, optimizationPreferred

QualificationsPublished research in blockchain analytics, graph algorithms, or MLContributions to open-source blockchain analytics projectsGraph Neural Networks (GNN) or deep learning on graphs experienceKnowledge of financial crime patterns and AML/KYC compliance Familiarity with privacy-enhancing technologiesWhy Binance
• Shape the future with the world’s leading blockchain eco

System
• 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.