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.
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.