About UOB

United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.

Job Description

• Create, build, and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources 
• Deliver high-quality, production-ready data pipelines that bring and cleanse data from source systems to support AFC model build
• Implement processes/systems to monitor data quality, and drive optimization, testing and tooling to improve data quality 
• Design and/or evaluates open source or vendor tools to be used for data lineage mapping
• Make sure info/data flow from system to system is correct
• Liaise closely with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for AFC models
• Liaise with Business Analyst and ensure assembled data sets used for model build meet business requirements
• Support Data Scientist(s) in developing model narratives by providing inputs from a data perspective (e.g., data requirements, data availability)
• Support Data Scientist(s) in ongoing testing of models/outputs during development, prior to more formal model validation by an independent team
• Create a model deployment pipeline to automate deployment of models in UOB’s environments/systems, and work closely with Data Scientist(s) in the Modelling team and other stakeholders (e.g., Group Technology and Operations) to ensure models are production ready 
• Ensure the seamless deployment of new AFC analytics solutions and models without breaking anything or creating unintended effects in the production pipeline
• Identify, design, and implement enhancements for internal process related to data (e.g., optimizing data delivery, redesigning infrastructure for greater scalability) to improve data reliability, efficiency, and quality
• Performs data analysis required to troubleshoot data related issues and support the resolution of raised data issues 
• Support UOB in adopting and/or migrating to new production environment, if needed

Job Requirements:

• 5 – 10 years of experience working in tech industry and 3 – 5 years of experience in a data engineering and/or data operations role, ideally in the financial services industry
• Proficiency in Python/Spark to code complex data engineering use cases
• Experience in data engineering tools such as Hive/Impala, Oozie, Hadoop, etc.
• Experience with schema design and dimensional data modeling
• Experience with robotic process automation (RPA) and their use in disseminating analytics outcomes
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Experience in deploying and scaling ML/AI models
• Familiarity with Agile methods and tools like JIRA
• Ability to create and maintain production ready data pipeline and deployment pipeline
• Strong people skills and take a big picture approach to planning
• Strong communication skills to interact with data scientists, business end-users, and possibly external vendors to design and develop data solutions
• Bachelor’s degree in Computer Science, Computer Engineering, IT, or equivalent

Additional Requirements

Be a Part of the 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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