Job Description

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

This role reports into the Head of data quality innovation. The team’s primary goal is to be a thought leader in innovation thinking, conduct ideation drives, and to perform advanced data analysis tasks to help the bank become more proactive in identifying and resolving the data quality challenges. The individual is expected to implement innovative data quality solutions across the Bank to measure and improve the Bank’s data health and raise awareness of the data quality problems using innovative methods such as machine learning. You will be expected to work closely with business/support units (BUs/SUs) in understanding their data challenges and use statistical data analysis to identify anomalies and inconsistencies in data quality. The focus will be on predicting and preventing data quality issues on the critical data elements within the bank. You will work on 3 main domains: 1. Practice the design thinking framework from ideation to execution

• Conduct ideation drives and design thinking workshops to empower various teams within the bank in their innovation thinking journey
• Identify the innovation areas, ascertain the business value and create actionable use cases for further analysis
• Collaborate with various stakeholders to understand the root cause of data problems and document the data quality challenges for new projects, data initiatives, etc.

2. Create machine learning models to proactively monitor and correct the data quality of the bank

• Perform feature engineering, and train/test the Machine learning models
• Facilitate active learning using supervised/unsupervised machine learning techniques
• Provide ongoing support to manage the Machine learning models in production

3. Review existing workflows and perform process re-engineering activities

• Identify automation areas to make the BAU teams more efficient and productive
• Create prototypes for automation use cases and provide end to end support to iteratively roll-out the solutions in production
  

Job Requirements

• Degree in Information Technology, Statistics, Data Analytics or related disciplines with at least 6 years of working experience in Banking or related industries
• Ability to engage with different stakeholders across the Bank
• An out of the box thinker with a flair for innovation
• Advanced Python programming skills are mandatory
• Good understanding of design thinking and business analysis principles
• Understanding of statistical analysis to quantify the data quality problems
• Understanding of various NLP, supervised and unsupervised ML models is mandatory
• Hands on experience in creating ML models using regression, classification, clustering, random forest, etc.
• Hands on experience using various Python packages for data cleaning, web scraping, etc
• Proficiency in SQL and working knowledge of BI tools such as PowerBI and Qlik is a plus
• Understanding of RPA tools, Cloudera workbench, Java, .net or HTML will be a plus
• Exposure to Data Warehousing and Big Data platforms is a plus

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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