Account Security Strategy Expert

About Us

Job Overview

Responsibilities

• - Full-lifecycle Asset Protection: Own security strategy planning across the full user account lifecycle, including login, sensitive information changes, API key authorization, and fund transfers. Focus on designing anti-fraud and anti-account-takeover mechanisms to protect user assets. - Advanced Fraud and Phishing Defense: Design real-time risk detection and blocking strategies against inducement fraud, fake phishing websites, and social engineering attacks, based on user behavior sequences, fund flow patterns, and environmental signals. - AI Forgery and Human-Bot Defense: Address emerging security challenges brought by AI-generated fraud and impersonation. Work with algorithm teams to design anti-forgery strategies and secondary verification mechanisms. - Malware Hijacking and Environment Defense: Build multi-confidence defense strategies for high-risk scenarios such as client-side malware, malicious browser extensions, and session hijacking, using abnormal device fingerprints and unnatural behavior patterns. - Wash Trading Prevention and Fund Security Blocking: Establish real-time strategies to detect malicious wash trading after account takeover, enabling second-level identification and interception of abnormal counterparties and abnormal spread transactions. - Cross-functional Collaboration: Work closely with Product, Security Engineering, and Deposit/Withdrawal teams to upgrade account security infrastructure, including AI Agents and verification centers.

Qualifications

• - Bachelor’s degree or above in Computer Science, Information Security, Mathematics, Statistics, or a related field. - 5+ years of experience in account security, anti-fraud, or fund security in the blockchain or internet industry. - Strong technical and data capabilities, with proficiency in SQL and excellent multi-dimensional data extraction and analysis skills; able to independently investigate abnormal trading and login logs to identify hidden risk patterns. - Proficient in Python, with familiarity in common machine learning models or graph-based analysis applied to risk control scenarios such as fraud ring detection and abnormal transaction mining. - Deep understanding of emerging fraud tactics, including romance scams, impersonation of internal staff, phishing interception, malware hijacking, AI anti-forgery defense, and wash-trading-based money laundering, with strong hands-on experience in adversarial risk control. - Familiarity with cryptocurrency fundamentals and on-chain transaction analysis is a plus. - Experience in fund risk control, wash trading prevention, and anti-fraud strategy design for Web3 exchanges is preferred.