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Assistant VP/ VP, Data Analyst, Group Retail & Channels, Group Technology & Ops

Posting Date:  28-Dec-2021
Location: 

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.

 

Group Retail Banking & Channels (GRCTO), T&O, Data Analytics Team, is seeking for an experienced data analyst with excellent problem solving skills and ability to drive operational improvements by leveraging on key insights derived from mining large set of datasets across various systems.

Job Responsibilities

  • Work closely with Ops to leverage on data to derive action plans with the goal of bringing ATM/CDM operations planning to the next level
  • Collaborate with Tech, DMO (Data Management Office), and Ops to identify data needs
  • Mine, develop and analyze data using machine learning/predictive modelling/optimization/forecasting techniques to drive operational improvements and monitor outcomes
  • Develop testing framework and testing model quality
  • Operationalize models on production

Job Requirements

  • At least 3 to 5 years of experience in building machine learning models (Python, R, Spark)
  • Expert in querying and manipulating raw datasets for analysis using SQL
  • Self-starting, curious and motivated individual operating in ambiguity
  • Demonstrated experience leveraging data driven models to drive business decision and influence strategic direction
  • Good to have: ATM Operational knowledge, Operational analytics and process improvement experience

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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