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Posting Date:  08-Feb-2021
Location: 

Kuala Lumpur, Wilayah Persekutuan, MY

Company:  United Overseas Bank (Malaysia) Bhd

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 and Enterprise Data Strategy and Analytics. 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 Data Management Team (DMT) serves as the single point of contact for users across  for data issue escalations. The DMT ensures that data is of good quality and conforms to data standards such as completeness, accuracy and consistency, to support regulatory and management reports. The team also promotes data automation and makes use of data to help develop initiatives to improve productivity.

The role will be part of the business function that will be leading the transformational build, use, and deployment of the bank’s next generation data analytics capabilities and infrastructure.

Job Responsibilities

  • Perform the role of a data analyst on the Enterprise Data Architecture & Governance (EDAG) Programs to ensure the business requirements and deliverables are aligned to business priorities
  • Perform assessments and analysis on existing data ecosystems to identify, propose and implement solutions to enhance data quality, data consistency, and efficiency
  • Provide support to business stakeholders in data queries and data provisioning
  • Responsible for production support and change management, including specifications and data model review and UAT.
  • Design, develop and maintain business intelligence solutions such as interactive dashboards to help the business leverage their internal data assets for strategic decision making. Hands-on development of data models and visualisations will be required.
  • Support business users and senior management through use of data analytics and also in deployment of data analytics capabilities.
  • Support portfolio management with in-depth analysis of key segments and business drivers.

Job Requirements

  • Degree in Computer Science, Actuarial Science, Actuarial Mathematics, Statistic or related disciplines with at least 3 to 5 years of working experience in banking or financial industry.
  • Understanding business models, data dictionaries and to be able to query data using an SQL tool is mandatory
  • Hands on experience in Hadoop and/ or Teradata is highly desirable.
  • Experience in visualising with QlikSense, Tableau, Power BI or similar.
  • Exposure to Python, R, Hadoop, Hive, Impala, Pig and other new Big Data technologies is preferred.
  • Possess good written and verbal communication skills with demonstrated ability to present in a clear and compelling manner.
  • Analytical ability would be a plus.
  • Able to work independently and thrive in a dynamic environment.

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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