Описание
This team member will assist in the development of algorithms to detect malicious activity across the blockchain. The responsibilities may include:
Analyzing crypto attacks and producing incident reports.
Analyzing large datasets of activity on the blockchain and test the effectiveness of models and rules in detecting malicious activity.
Preparing and validating datasets for model training.
Analyzing model performance and model explainability.
Требования
Great communication skills. Ability to produce and present analytical reports.
Familiarity with python programming language and common data processing packages (Pandas, Numpy)
Recommended skills:
Knowledge and passion about web3 applications.
Familiarity with machine learning models and packages.
As a blockchain security company, CyVers uses cutting-edge geometric machine learning to detect DeFi attacks in real-time. With our Security Operations Platform for Web 3.0 businesses, security, compliance, fraud, and risk teams can automatically identify and respond to incidents across the entire crypto attack surface. When an attack is detected, the system can freeze illicit transactions and return stolen funds to the rightful owner's account.
