[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All China Telecom jobs](https://jobs.opennash.com/companies/china-telecom/) · [Search jobs](/search/)

China Telecom · 北京市

# 安全研发岗

北京市 

Listed on China Telecom’s official careers site. Posted August 22, 2026. Check that it is still open and apply there.
[Apply on China Telecom’s careers site →](https://job.chinatelecom.com.cn/wt/TELE/web/index/webPosition210!getOnePosition?postId=137523&recruitType=1&brandCode=1&columnId=1)

[OpenNash Jobs](https://jobs.opennash.com/) / [China Telecom](https://jobs.opennash.com/companies/china-telecom/) / 安全研发岗

## Job description

### Responsibilities
- 协助规划数据安全管理体系，推动数据安全、隐私风险策略的落实执行，提升公司数据安全管控能力及成熟度。
- 理解业务中数据交互场景，制定场景化安全规范和方案，保障业务、研发、内外业务合规。
- 协助设计和推动数据安全能力建设及效果验证、优化。
- 协助对数据安全保护与控制措施的有效性进行持续验证，挖掘风险和跟进相关事件响应、处置，提出优化建议并推动落实。
- 跟进数据安全风险事件与治理，完成事件分析与响应、技术方案制定以及同类风险发现与治理防范等工作。
- 对接内外部监管和审计工作，确保满足合规要求。

### Requirements
- 硕士研究生及以上学历，网络与信息安全、计算机类等相关专业优先。
- 了解数据分类分级、数据脱敏、数据风险检测等安全技 术手段，具备体系化思考能力。
- 具备良好的沟通合作能力和抗压能力，能够跨团队推动 安全风险的治理和能力落地。

## At a glance
- Posted by the employer: Aug 22, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 57 days
- Location: 北京市[Apply on China Telecom’s careers site →](https://job.chinatelecom.com.cn/wt/TELE/web/index/webPosition210!getOnePosition?postId=137523&recruitType=1&brandCode=1&columnId=1)

## More jobs at China Telecom

### [AI产品经理](https://jobs.opennash.com/companies/china-telecom/jobs/99af321e1eb5f5550f93/)

北京市

### [AI智能体开发工程师](https://jobs.opennash.com/companies/china-telecom/jobs/9bfe85aa1f51a2bf26b5/)

北京市

### [AI算法及研发方向](https://jobs.opennash.com/companies/china-telecom/jobs/8c5193c266988d0f8207/)

北京市

### [AI算法岗](https://jobs.opennash.com/companies/china-telecom/jobs/d29a17362a2c4e77ee55/)

北京市

### [AI算法工程师](https://jobs.opennash.com/companies/china-telecom/jobs/88010f7d263d0f40ff5c/)

北京市

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)