Vp, Compliance Analytics & Systems - Analytics

*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
• Compliance
• function is a strategic partner and a trusted business enabler to the Board and senior management. It is our responsibility to ensure that the Group continuously fulfils its regulatory obligations in today's tight and dynamic regulatory landscape. To do that, we work closely with internal stakeholders to identify and to assess regulatory risks. This collaboration also includes developing practical solutions that integrate regulations into operational requirements as well as actively shaping and promoting stronger compliance culture and literacy in the Bank.
• Responsibilities
• Data infrastructure and pipeline
• - 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.
• Support model development and deployment
• - Liaise closely with relevant stakeholders (e.g., Data Management Office and Wholesale/Retail business sectors, etc.) 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, etc.).
• 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 & Operations, etc.) 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.
• Enhancement and support
• - Identify, design, and implement enhancements for internal process related to data (e.g., optimizing data delivery, re-designing infrastructure for greater scalability, etc.) 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.
• Be a part of UOB Family