Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 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 looking for a talented data scientist / algo engineer to join our on-chain analytics team, focusing on entity clustering, fund tracing, risk modeling, and behavioral analysis across multiple blockchains.
Responsibilities
Design and implement efficient blockchain address clustering algorithms, supporting multi-chain and cross-chain analysis
Develop risk scoring and behavior recognition models to enhance address and entity risk assessment
Build anomaly detection systems to identify scams, mixers, and other illicit activities
Monitor algorithm performance, ensure low false positive rates, and continuously optimize
Stay updated with industry trends and apply cutting-edge technologies to improve algorithms
Requirements
Bachelor’s degree or above in Computer Science, Mathematics, or related fields
3–5 years of applied data science experience in blockchain analytics, fintech, or cybersecurity
Strong programming skills in Python, C++, or Java
Experience with blockchain data structures and UTXO/EVM models preferred
Familiarity with machine learning techniques and data analysis
Exposure to apply large language models (LLMs) to enrich on-chain intelligence interpretability
Good problem-solving skills and ability to work in a fast-paced environment
Comfortable working cross-functionally with engineers to operationalize data models at scale.
Strong communication skills and team collaboration mindset
Preferred Qualifications
Authored or co-authored research in areas such as graph learning, entity resolution, or crypto-economics.
Prior experience at blockchain intelligence firms (e.g., Chainalysis, Elliptic, TRM Labs, Nansen).
Delivered AI research or open-source contributions integrating LLMs with blockchain analytics.
Knowledge of AML/CFT compliance, DeFi security, or protocol-level modeling.
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.
