System Analyst (Data Office-Data Service)

Job Type: Contract
Industry: Technology
Reference: 34779_1718704802
Job Published: June 18, 2024

Key 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

Job Specifications

A) Knowledge, Skill & Attributes
* 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)

B) Academic and Professional Qualification
* 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

C) Training and Relevant Experiences
* 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 )