[招聘信息] 中信银行信用卡中心——大数据中心招聘 [复制链接]

羽翼214
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电梯直达

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发表于 2016-9-26 15:53:05 |只看该作者 |倒序浏览

本帖最后由羽翼214 于 2016-9-26 16:04 编辑

Contact Email: hanxiaoyu_kzx@citicbank.com / yuyi_kzx@citicbank.com
简历投递邮箱：hanxiaoyu_kzx@citicbank.com / yuyi_kzx@citicbank.com

Location：Shenzhen
工作地点：深圳

Position: Data Mining Analyst (Big Data)
Job Description:
1.Build, apply, monitor, and optimize data mining models.
2.Formulate business strategies based on data mining models to assist credit card business.
3.Conduct text mining,sentimental analysis, social mapping analysis, product preference analysis, channel preference analysis, and product pricing analysis etc.
4.Conduct data mining analysis on big data by using R/Python under spark and hadoop environment. Develop parallel computing algorithms on spark and hadoop.
Requirements:
Education: Bachelor's degree or above at Universities in Hong Kong
Major: Computer Science, Machine Learning, Mathematics, Statistics and other related majors.
3.Skills/Qualifications: Systematically studied statistics, machine learning, and data mining. Have solid math and statistics knowledge. Experience with SQL. Proficient with at least one data mining language(eg. SAS, Python, Scala, Java, R)
4.Good logical thinking and strong sensitivity to data. Strong communication skills.
5.Outstanding learning abilities. Capable of reading data mining related articles in English. Preferred if the applicant keep studying new techniques, tools related to data mining from technology forums and blogs.
6.Experience with data mining and machine learning algorithm. Understand deep learning. Having experience with data mining(eg. Data mining related competition, internship, research topic,graduation project, and course assignment). Preferred if the applicant have implemented two or more data mining algorithms during analysis.
7.Have some knowledge with the infrastructure and application scenario of hadoop, hive, spark etc. Preferred if the applicant have done analysis on those big data platforms.
8.Participation in major data-mining competitions preferred. Master's or Phd in Machine learning related majors preferred.

Position: IT System Development Engineer (Big Data)
Job Description:
1.Construct plan, application and development specification for big data platform at credit card center
2.Conduct data product needs assessment, development, testing, launching, and business promotion that are related to big data platform.
3. Formulate well-organized procedure for developing big data related product from work experience and share it with other colleagues.
4.Maintain and optimize big data platform.
5.Study new techniques and tools related to big data.
6.Finish other tasks assigned by the supervisor.
Requirements:
Education: Bachelor's degree or above at Universities in Hong Kong
Major:Computer Science, Mathematics, Software Engineer, Statistics and other related majors.
Skills/Qualifications: Solid foundation in computer science ,data structure, and algorithm knowledge. Deep knowledge in principles of distributed systems. Understands database and nosql related theories. Experience in SQL. Proficient in at least on big data programming language(JAVA/PATHON/C/C++/SAS/R/Scala/JavaScript)
Big data minded, good at communication and coordination,creative,serious and rigorous,active,strong sense of responsibility.
5.Sensitive to and keep learning big data related new techniques, tools. Having experience with HADOOP/SPARK/ES/YARN/HBASE/HIVE related development(internship, research topics, and graduation project etc.). Having computer science related certifications is preferred. Participation in programming competitions preferred. Committer or contributor of Apache Hadoop,Hive,Spark related source code preferred.

岗位名称：数据挖掘岗（大数据方向）
岗位职责：
      1、负责卡中心各类数据挖掘模型的建立、应用、监控优化；
2、协助业务结合数据挖掘模型制定应用策略；
3、开展文本挖掘、舆情分析、社交图谱分析、产品偏好、渠道偏好、定价等领域数据挖掘工作； 4、结合R/Python与Spark、Hadoop，进行大数据挖掘分析及并行算法开发；
具体要求：
      1、院校/学历：香港高校本科及以上学历：
2、专业：计算机、机器学习、数学、统计学等相关专业：
3、所需掌握的专业技能/课程：系统学习过统计学、机器学习等数据挖掘基础课程，坚实的数理统计基础：熟悉SQL编程；至少了解掌握一门数据分析编程语言（例如： SAS、Python、Scala、java或R）；
4.较强的逻辑思维能力、数据敏感度；具备良好的沟通及表达能力；
5、出众的学习能力，较高的外文资料阅读能力；对数据挖掘领域新技术、新工具敏感且有所掌握，常年混迹数据挖掘论坛或有数据分析主题的博客的优先考虑；
6、熟悉数据挖掘和机器学习算法、了解深度学习，有相关数据分析实践经验(领域竞赛、实习、导师课题、毕业设计、专业课作业等)，实现两种以上数据挖掘算法的分析工作的优先考虑。
7、对主流的大数据平台HDP、Hive、Spark、等组件基础架构及应用场景有一定了解，并进行过分析实践的优先考虑 8、参加过大型数据挖掘建模竞赛的优先考虑；对机器学习有较深认识的博士研究生优先考虑
岗位名称：IT系统开发岗(大数据方向)
岗位职责：
1、参与定制信用卡中心大数据平台规划，应用及开发规范；
2、保质高效完成大数据平台数据类应用的需求评估、开发、测试、上线、业务推广；
3、形成条线清晰的数据类产品开发模式和经验，并在内部推广与分享；
4、负责大数据平台的维护及优化；
5、预研大数据新技术；
6、完成上级交办的其他工作。
具体要求：
1、院校/学历：香港各高校本科及以上学历：
2、专业：计算机、数学、软件工程、统计学等相关专业；
3、所需掌握的专业技能/课程：有扎实的计算机理论基础, 对数据结构及算法有较强的功底；对分布式系统原理有较深的理解，理解数据库和nosql相关理论；掌握SQL，熟练JAVA/PATHON/C/C++/SAS/R/Scala/JavaScript至少一门大数据开发编程语言；
4、需重点关注的基本素质：大数据思维、沟通及协调、创新意识、认真严谨、积极主动、强烈的责任心；
5、其他要求：对大数据领域新技术、新工具敏感且有所掌握；有大数据HADOOP/SPARK/ES/YARN/HBASE/HIVE开发实践经验（实习、导师课题、毕业设计等）；拥有计算机等级证书/软件分析师证书或有数据建模竞赛、计算机编程大赛经验优先；Apache Hadoop,Hive,Spark相关技术源码的 Commiter或 Contributer者优先。

简介：中信银行信用卡中心是中信银行在深圳设立的对信用卡业务进行统一管理、集中操作、独立核算的业务部门，是中信银行信用卡业务全国总部、首家分行级专营机构。2002年年底，由中信银行总行与中信嘉华银行在深圳合作筹建成立；2007年12月，经中国银监会批准成为业内少数几家分行级信用卡专营机构之一；2008年2月，在深圳成功注册。截止目前，全国共设立52家分支分支机构，员工总数8000余人。

CITIC Bank Credit Card Center (“the Center”) is the Bank’s national credit card business center. It is the first specialized organization at branch level founded by the CITIC Bank and CITIC Ka Wah Bank in Shenzhen by the end of 2002. The Center was set up to integrate the management and operation of the Bank’s credit card business and to achieve independent accounting. In Dec 2007, the Center became one of the few CBRC-approved specialized organizations on credit card business at branch level. In Feb 2008, the Center was successfully registered in Shenzhen. As of today, the Center has established 52 branch offices and recruited more than 8000 employees nationwide.

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