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Posting Date:  28-Sep-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 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

WB Portfolio Management Unit(PMU) is an exciting team that is focused on Machine learning and Artificial Intelligence. We managed and developed WB Scorecard models for both Capital and provision for Bank and conduct analytics for WB portfolio on their trend analysis for both early warning signals and Business Opportunities.

 

We are seeking a matured candidate to join us to spearhead the Artificial Intelligence track where the incumbent must have at least 5 years of experience in developing Scrapping Knowledge with high levels of competency:-: 

 

  • Experience for high level programming language for analysis using Python, R, etc
  • Experience in articulating business questions and using and using mathematical techniques and able to translate analysis results into Business outcomes;
  • Collaborate and work across functional and multidisciplinary teams in a dynamic.
  • Must be able to understand machine learning algorithms such as Naïve Bayes, SVM, Decision trees and knowledge of Tensor Flow, Pytorch and Scikit-learn
  • Experienced in implementation and deployment of ML Models and conduct system tests for security and performance.
  • Develop and maintain the design and troubleshooting documentation.
  • Research on Algorithm improvements for higher performance, accuracy and optimality.

Job Requirements

  • A recognized PHD/ Masters/Bachelor’s Degree in a quantitative discipline, Mathematics, Actuarial, Statistics, Finance, Financial Engineering  or Engineering degree
  • Preferably 5 years working experience in Machine Learning Environment.
  • Strong analytical and statistical skills with experience in statistical modeling would be highly desirable.
  • Ability to multi-task and manage a number of differing tasks, ensuring that effective communication is maintained.
  • Ability to work under tight deadlines is necessary.
  • Strong communication skills in writing and interpersonal skill is required.

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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