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First VP / VP, Data Analyst, Wholesale Banking and Market Operations

Posting Date:  21-Apr-2022
Location: 

Cecil Street, 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 Technology and Operations function is comprised of five teams of specialists with distinct capabilities: business partnership, technology, operations, risk governance and planning support and services. We work closely together to harness the power of technology to support our physical and digital banking services and operations. This includes developing, centralising and standardising technology systems as well as banking operations in Singapore and overseas branches.

Job Responsibilities

•    Manage the book of work for risk and operational efficiency related use cases across the Wholesale Banking and Market Operations teams
•    Identify data sources and provisioning of data into enterprise data platform
•    Apply database tools and statistical predictive models by analyzing datasets and derive insights using a risk lens
•    Responsibility for developing, maintaining and extracting knowledge from internal and external data sets
•    Create visualization dashboards for monitoring and analysis purpose
•    Implement automation in data compilation for analysis use in management meetings
•    Partner and support users in other internal teams to develop and deliver data science solutions to further value-add in assurance reviews and other risk programs
 

Job Requirements

•    Degree in Computer Science, Math, Statistics, Operations Research or other quantitative discipline. 
•    5-10 years experience in quantitative analysis and data science (machine learning / predictive modelling) with proficiency using common analysis tools (eg. SAS, Python, Hue)
•    Proficient in visualization/dashboard tools (eg. Qliksense, Power BI)
•    Excellent communication skills (verbal, written) to deliver insights to senior management and stakeholders
•    Deep dive into data to find answers to yet unknown questions and have a natural desire to go beneath the surface of a problem.
•    Ask relevant questions and possess the skills to build algorithms necessary to find meaningful answers.
•    Motivated and driven, able to work independently and a good team player as part of a multidisciplinary team
 

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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