Data Security Expert（DLP）

Join OKX as a Data Security Expert to design and implement data security schemes, enhance detection capabilities, and explore AI techniques for security response. OKX is a leading cryptocurrency exchange that provides a platform for trading various digital assets. We are committed to ensuring the security of our users' data and assets.

• •Design the company-wide data security scheme under the new financial system, and be responsible for the implementation.
• •Develop and enhance data security detection capabilities, including but not limited to DLP, data encryption and data masking.
• •Continuously validate existing data security rules and models; follow up on data security incident identification, response, handling, investigation, and forensics.
• •Continuously improve risk identification capabilities in data security by optimizing detection rules and models to optimize the overall detection coverage; build data asset maps; use graph detection and other techniques to trace data flows and identify sensitive data exfiltration risks.
• •Explore and apply AI / LLM techniques to enhance security detection and response, and build AI-driven detection, triage, and automated response solutions.

• •Major in information security, network security, or computer science; 8–10 years of relevant experience in data security.
• •Hands-on experience with endpoint and email data loss prevention (DLP).
• •Familiar with the data security lifecycle, understanding the risk points and key objectives at each stage.
• •Familiar with common security offense and defense techniques, with experience in building security operations and managing data security risks; strong sensitivity to data exposure risks.
• •Familiar with data security products and detection methods such as DLP, UEBA, sensitive data identification, data encryption/decryption, and secure data sharing.
• •Experience with enterprise-level endpoint data protection solutions; experience in endpoint security, familiarity with macOS and Linux systems, and hands-on experience in data threat modeling is a plus.
• •Experience with enterprise-level big data analysis tools such as Flink, Hive, Spark, ElasticSearch, and graph technologies; hands-on experience in security data mining, analytics, or threat intelligence analysis is a plus.
• •Strong logical thinking and communication skills, with a good understanding of compliance and legal considerations.