Data Security Expert (DLP)

📋 Description Design and implement the company-wide data security scheme for the new financial system. Develop and enhance data security detection capabilities, including DLP, encryption, and masking. Validate data security rules and models; handle incident identification, response, and forensics. Improve risk detection by refining rules, building data asset maps, and tracing data flows with graph methods. Explore AI/LLM techniques to enhance security detection and automated response. 🎯 Requirements Major in information security, network security, or computer science; 8–10 years in data security. Hands-on experience with endpoint and email DLP. Familiar with the data security lifecycle and risk points at each stage. Familiar with security offense/defense techniques; experience in security operations and risk management. Familiar with data security products and detection methods such as DLP, UEBA, encryption, and secure sharing. Experience with enterprise endpoint protection; macOS and Linux familiarity; threat modeling is a plus. Experience with Flink, Hive, Spark, Elasticsearch; graph tech; security analytics a plus. Strong analytical and communication skills; awareness of compliance and legal considerations.