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.
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.