Web3 Security Data Analyst

Responsibilities

• Analyze large-scale on-chain data to identify anomalous transactions and develop robust detection mechanisms.

• Enhance transaction detection capabilities across networks and refine risk monitoring frameworks.

• Use community discovery algorithms to identify associated malicious accounts and provide actionable intelligence.

• Design a comprehensive data prevention and control system integrating on-chain and off-chain data sources.

• 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.