Data Security Expert（DLP）

OKX; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

OKX is seeking a senior data security expert to design and implement a company-wide data security scheme under a new financial system. You will lead the deployment of DLP, encryption, and data masking, and enforce security controls across the enterprise.

You will continuously validate rules and models, coordinate incident response and forensics, and advance risk detection with graph analytics, data lineage, and AI-driven detection and automated response.

Qualifications

• 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.

Responsibilities

• 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.

Skills

DLP

Data encryption

Data masking

Incident response

Forensics

Security analytics

Data threat modeling

Communication skills

Education

Major in information security, network security, or computer science

Tools

Flink

Hive

Spark

ElasticSearch

Graph technologies

Job description

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.

Job Requirements

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.

Preferred Qualifications

Data security expert, directly responsible for DLP capacity building and implementation in financial institutions.

Experience detecting or analyzing internal and external data leakage.

Experience in data lineage analysis, graph-based security analytics, or sensitive data flow tracing.

Hands-on experience with security data models, detection rule engines, or in-house security product development.

Prior experience building or operating data security systems within an enterprise security team.

Hands-on experience applying AI to security detection, alert triage, or automated response.

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