Binance
via Lever
Web3 Security Data Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 53d ago
The date the source published, not the day we noticed it (2026-07-24). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Asia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$1,675–2,250/mo
Middle 50% of 19 listings that do state pay — Operations · all levels · Asia · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
lever employer's own board first seen 42d ago · last seen just now
The listing
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.