Assistant VP, Data Scientist, Data Management Office Assistant VP, Data Scientist, Data Management  …

United Overseas Bank
in Singapore
Permanent, Full time
Be the first to apply
Competitive
United Overseas Bank
in Singapore
Permanent, Full time
Be the first to apply
Competitive
United Overseas Bank
Assistant VP, Data Scientist, Data Management Office
Posting Date: 18-Nov-2020

Location: Raffles Place, Singapore, SG

Company: United Overseas Bank Limited

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 and Big Data Analytics function answers the demand for quality and credible data across the Group.

Data Management Office
We govern the use of data across the Group and provide guidance for data management and usage. This optimises the value of data to enable smarter, faster and more accurate decision-making as well as improve operational efficiency. Above all, we ensure adherence to all data governance standards as determined by regulators.

Big Data Analytics
We are a centralised analytics function that supports Group-wide business units and their analytical needs. We aim to establish ourselves as an analytics centre of excellence and drive analytics adoption and the utilisation of new big data technology across the Group. Our key areas of service range from business intelligence, strategic analytics to data science.

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.
  • Support 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 data analytics needs
  • Strong knowledge of data and analytics architecture to ensure analytics objectives are aligned to business priorities on the Data Transformation Program
  • Drive Innovation initiatives under CDO guidance and directives.


Job Requirements
  • Min Degree in Statistics, Mathematics, Data or Computer Science or a related field
  • Min 4 years analytics working experience in banking / financial services industry is desired
  • Possess a selection of skills and experience with analytical tools and languages such as R, SAS, python, SQL, Pig and other Hadoop-based languages
  • Possess the ability to query and use large, robust data sets across traditional Data Warehouse and Hadoop platforms.
  • An analytical mind and team player to build strong business partnerships
  • A strong communicator, with clear articulation of analytical findings through presentations. Experience with data visualization packages 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.

Apply now and make a difference.

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