Web3 Security Data Analyst

BlockchainHQ; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Work-from-home arrangement

Career growth opportunities

Job summary

Binance is a leading global blockchain ecosystem seeking experts to analyze large-scale on-chain data and build robust detection mechanisms for anti-fraud efforts. The role involves enhancing transaction monitoring, identifying illicit activity, and integrating on-chain with off-chain data sources.

The candidate should apply ML techniques, collaborate in a fast-paced environment, and communicate effectively in English. A work-from-home arrangement is available depending on business needs.

Qualifications

• Requires strong analytical skills and attention to detail.
• Proficient in SQL and Python; Spark/Flink experience preferred.
• English proficiency for professional communication.

Responsibilities

• Analyze large-scale on-chain data to identify anomalous transactions and develop detection mechanisms.
• Enhance detection capabilities across networks and refine risk monitoring frameworks.
• Use community discovery to identify associated malicious accounts and provide actionable intelligence.
• Design a data prevention system integrating on-chain and off-chain sources.
• Apply supervised and unsupervised ML to detect anomalous patterns across decentralized networks.

Skills

Analytical skills

English communication

Team collaboration

Tools

SQL

Python

Spark/Flink

Job description

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

• 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.

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.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.