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Binance

Web3 Security Data Analyst

Location
Asia, SG
Arrangement
Remote
Employment type
Other
Posted
24 July 2026 (about 2 months ago)

Checked about a month agoApplications go to the employer, never to RoleSprint

About this role

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.

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.

Locations

  • Asia, SG
  • Taipei, SG
  • Hong Kong, SG

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About this listing

Published on Lever under the board identifier Binance, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.

RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.

Published 24 July 2026, last checked about a month ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.

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