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.
Responsibilities
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Analyze large-scale on-chain data to identify anomalous transactions and develop robust detection mechanisms.
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Enhance transaction detection capabilities across networks and refine risk monitoring frameworks.
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Use community discovery algorithms to identify associated malicious accounts and provide actionable intelligence.
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Design a comprehensive data prevention and control system integrating on-chain and off-chain data sources.
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Utilize supervised and unsupervised machine learning techniques to identify anomalous patterns (e.g. irregular transaction volumes, unusual wallet behaviors, atypical token movements) across decentralized networks.
Requirements
Over 5 years of experience in blockchain, anti-fraud, risk control, or related fields, strong analytical skills and attention to detail.
Proficient in SQL and experienced in using Python and Spark/Flink; solid understanding of common data mining and machine learning algorithms;
Strong problem-solving and goal-oriented mindset with a proactive learning attitude; keen interest in Web3 security;
Ability to work collaboratively in a fast-paced, dynamic environment.
English proficiency sufficient for professional communication;
Knowledge of blockchain and familiarity with on-chain data are considered strong pluses.
