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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 300 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.
We are building Block Tracer, BN'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
- 1. Entity Clustering Algorithm Development (including Classification, ANN)
- Design address clustering algorithms for UTXO chains (Bitcoin, Litecoin, BCH) with near 100% accuracy·
- Develop Common-Spend clustering, EVM clustering, and multi-layer blockchain unification·
- Build cross-chain entity linking systems to track fund flows across blockchains
- 2. Machine Learning Model Development·
- Build and optimize risk scoring models to assess address and entity risk levels·
- Develop address evidence quality models with full audit trails·
- Create behavioral attribution models to classify unknown addresses·
- Implement change address prediction and anomaly detection algorithms
- 3. Behavioral Pattern Recognition·
- Design heuristic algorithms to identify legitimate services (exchanges, wallets, DeFi)·
- Develop detection systems for illicit activities (mixers, scams, fraud contracts)·
- Build hot/cold wallet distinction and address rotation pattern recognition
- 4. Algorithm Quality Assurance·
- Monitor algorithm performance and maintain <1% false positive rate·
- Conduct root cause analysis and implement improvements·
- Design A/B testing frameworks and establish performance benchmarks·
- Ensure algorithm explainability and auditability
- 5. Technical Innovation & Research·
- Adapt algorithms for new blockchains and protocol updates·
- Research graph neural networks for risk propagation·
- Publish technical papers and contribute to blockchain analytics community
Requirements
- Master's or Ph.D. in Computer Science, Mathematics, Statistics, or related fields·
- 5+ years of algorithm development, machine learning, or data science experience·
- 3+ years of blockchain technology and cryptocurrency analytics experience (preferred)·
- Track record of deploying algorithms in production environments
- Strong problem-solving and analytical thinking·
- Excellent communication to explain complex algorithms·
- Self-motivated, works independently in fast-paced environment·
- Team collaboration and mentoring abilities·
- English proficiency required
Preferred Qualifications
- Published research in blockchain analytics, graph algorithms, or ML·
- Contributions to open-source blockchain analytics projects·
- Graph Neural Networks (GNN) or deep learning on graphs experience·
- Knowledge of financial crime patterns and AML/KYC compliance
- Familiarity with privacy-enhancing technologies
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.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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