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Jobs in Hong Kong   »   Jobs in Hong Kong   »   Information Technology Job   »   System Analyst - Data Service
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System Analyst - Data Service

The Career Works Limited

Our client a large Commercial Bank is looking to hire System Analyst - Data Service

Responsibilities:

  • Propose and evaluate technical ideas with other teammates so as to design a suitable technical solution against the requirements and demands of the industries 
  • Study innovative measures and technical development roadmap for data-driven tasks and implementation plan
  • Develop statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in bank domain
  • Coordinate resources to carry out tasks against the plans and complete the projects (including work, project documents, technical report and paper , etc.) as scheduled with high standard
  • Liaise with vendor on system support and maintenance
  • Participate in daily system support and maintenance
  • Familiar with software development skills in one or more high level languages (/Java/Scala), one or more scripting languages (Python/Perl/Shell), knowledge of R or other statistical package. 
  • Good at streaming development (e.g. Spark, Flink, Kafka)
  • Good writing, presentation, communication and analytical skills
  • Passionate, mature, self-motivated, and able to work independently and meet tight deadlines
  • Good command of both spoken and written English, Chinese (including Putonghua) preferred
  • Familiar with SQL and ETL tools (e.g. Informatica, Datastage)
  • Master or above Degree in Computer Science, Statistics, Mathematics, related disciplines or equivalent 
  • Certificate in Scrum Master is an advantage and Familiar at agile Jira project management
  • 5 years or more hands-on working experience on mathematical modeling, statistics learning, data mining, time series, optimization with demonstrated knowledge of machine learning, statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.).
  • Proven experience in working with large databases and relational databases (e.g., SQL/Cassandra/Hbase )
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