Associate/ Analyst, Data Engineer, Consumer Banking, Technology and Operations

  • Competitive
  • Singapore
  • Permanent, Full time
  • DBS Bank Limited
  • 23 May 19

Associate/ Analyst, Data Engineer, Consumer Banking, Technology and Operations

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

As part of this organization, you will be joining the Operations Intelligence Unit of Singapore Consumer Banking Operations: you will be working on a workforce optimization project which aims to improve data accuracy and data reliability of operations staff performance data. Your primary focus will be ensuring the smooth running of our current technical infrastructure and enabling the successful transitioning to the new one, while also taking active part in developing the new workforce optimization data and solution elements.

As an ideal candidate, we are looking for a profile with an established database admin and software engineering skills who also has a well-founded interest in data mining, analytics and modelling


  • SUPPORT DAY TO DAY BAU (25%) -Database maintenance and support
    • Execute and manage weekly parameter update (run, resolve, co-ordinate w/other non-technical teams)
    • Monitor dashboard uptime, supervise completion of automated scripts
    • Triage service disruptions, take part in initial root cause identification, allocate and report resolution process
  • PROJECT WORK (75%)
    • SYSTEM DEVELOPMENT (60%): Transitioning the technical architecture from SAS db/scripts to DBS proprietary cloud platform with python-based scripting; take part in python-based application development (full development lifecycle: BR to BAU) and in script conversion from SAS to python
      Automate inclusion of new data sources: full data discovery cycle (perform data mapping, analysis, verification and data quality checks) for each new data source from team prioritization/data source identification to BAU)
      Develop processes and tools to monitor and analyze model performance and data accuracy in the new architecture

  • Diploma or Degree holder of Information Technology, Business, Mathematics or Statistics
  • At least 2-4 years of experience in software development, and relational database maintenance/support, including open source technologies
  • Able to interpret database schemas, both RDBMS and Hadoop that represent and support business processes
  • Proficient in writing and optimizing SQL on Teradata or similar relational database
  • Able to handle large and complex codebases
  • Understanding of administrative tasks such as end user access to front end and maintenance of security matrix and code versioning tools such as TortoiseSVN
  • Experience in data visualization and statistical data modelling (ie. QlikView, Power BI, Cognos, SAP Business Objects, R or Python stat packages, SPARK R would be an advantage.
  • Interest or experience in advanced data mining, big data tool stacks and/or Machine Learning, (Deep) Neural Networks, Game Theory, R Optimization Infrastructure packages
  • Strong problem-solving skills and openness to consider alternative suggestions
  • Proactive and independent work ethic
  • Willingness to work as part of a high performing team in an individual contributor role
  • A drive to learn and master new technologies and techniques

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.