Associate, Big Data Analytics Tech, Institutional Banking Group Technology, Technology & Operations Associate, Big Data Analytics Tech, Institutional  …

DBS Bank Limited
in Singapore
Permanent, Full time
Be the first to apply
Competitive
DBS Bank Limited
in Singapore
Permanent, Full time
Be the first to apply
Competitive
Associate, Big Data Analytics Tech, Institutional Banking Group Technology, Technology & 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.


Responsibilities
  • Involve in the technical design of Analytics and big data systems including ETL, data transformations, reporting and analytics services.
  • Examine and evaluate Analytics & big data requirements for various business units across the organization.
  • Applying architecture and engineering concepts to design solutions that adhere to organization standards and cater for re-usability, scalability, maintainability and security.
  • Contributing to analytics strategy and architecture that will align investments with the highest impact areas, while producing a suite of complementary models, tools and capabilities.
  • Working with cross-functional teams to discover and develop actionable, high-impact data analytics requirements and opportunity statements in a variety of core business areas.
  • Assessing tool implementations and architectures in the Analytics & Big data space, reviewing for gaps against business needs and industry best practices.
  • Contributing to business process design and re-engineering impacted areas.
  • Providing oversight to analytics and data warehousing activities in the team to ensure alignment of priorities, coordination of inter-related projects and ensuring success stories are leveraged.
  • Effectively communicating analyses, recommendations, status, and results to both business & technology leads.

Requirements
  • Bachelor's degree or higher in applied statistics, data mining, machine learning, computing or related quantitative discipline.
  • Interests in key technologies and concepts, e.g. Hadoop, Hive, Spark, SparkR, Mahout, SAS, Python/Java, Teradata are necessary
  • With experience in Analytics and big data architecture.
  • Good communication skill - speak and write well.
  • Experience in working in an Agile environment is an advantage
  • Able to multi-task and work under tight deadlines
  • Excellent communication skill

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.
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