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Assistant Vice President, Data Scientist, Data Management Office

Posting Date:  12-Mar-2023

Singapore, Singapore, Singapore

Company:  United Overseas Bank Ltd

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

About the Department

The  Data  Management  Office  (DMO)  is  a  business  function  that  covers  Enterprise  Data Governance,  Data  Management,  Big  Data  Analytics  and  Enterprise  Data  Strategy.  Data Management  Office  ensures  that  UOB  meets  all  data  governance  standards  set  by  data regulators and optimize data management and usage to help UOB make smarter, faster and more accurate decisions and to improve operational efficiency.

The Big Data Analytics Centre(BDAC) leads the transformational build, use, and deployment of the banks next generation analytics capabilities across the organization. This exciting role will play a pivotal part as an Analytics Centre of Excellence that will take analytics to the next level through use of latest data and analytics technology currently being deployed. You will work either individually or in project teams as a subject matter expert to deliver new Big Data and Machine Learning solutions for our business partners.

Job Responsibilities

  • Design  analytical  solutions/experiments  to  solve  various  strategic  business  problems through engagement and research
  • Building  and  deploying  Machine  Learning  Algorithms,  Advanced  Analytics,  and  Data Visualization across the UOB group and region
  • Supporting the Enterprise Data Architecture and Governance Program in developing and transforming the Analytics Capabilities across the group
  • Partnering  with  assigned  teams  and/or  business  units  to  provide  deep  expertise  and advisory on advanced data analytics needs
  • Strong  knowledge  of  data  and  analytics  architecture  to  ensure  analytics  objectives  are aligned to business priorities on the Data Analytics Transformation Program
  • Driving innovation initiatives under guidance and directives from Head of Enterprise AI & Data

Job Requirements

  • Min Postgraduate degree in Statistics, Mathematics, Engineering , Computer Science or a related field
  • Min  8  years  of  advanced  analytics  working  experience  in  banking  /  financial  services  / consulting  industry  Possess  a  strong  selection  of  skills  and  experience  with  analytical frameworks and languages such as SQL, R, SPARK, Python,  Hive and other Hadoop-based languages
  • Possess a strong ability to query and use large, robust data sets across traditional Data Warehouse and Hadoop platforms
  • An analytical mind and team player with demonstrated ability to build strong partnerships by applying quantitative techniques to solve business problems
  • A strong communicator, with clear articulation of analytical findings through presentations
  • Experience with data visualization packages and/or tools will be a plus
  • Innovative and Agile thinking – experience with Test and Learn Frameworks desirable

Be a part of UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

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