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Manager, Data Engineering
3 months ago
Posting Date: 25 Jun 2024
Location:
Singapore (City Area), Singapore, SG, 048624
Company: United Overseas Bank Ltd
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.
Job Responsibilities
Responsible for designing and maintaining data architecture and pipeline in support of AML uplift analytics needs; support seamless deployment of AML uplift analytical models into UOB's production environment.
Responsibilities and Activities:
- Create, build, and maintain the data infrastructure required for Extraction, Transformation and Loading of data from a wide variety of sources.
- Ensure high-quality data is delivered to support Compliance / FCC model development.
- Support the implementation of Data Analytics / Automation for Compliance teams and Business stakeholders.
- Liaise with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for Compliance / FCC Data models.
- Liaise with Business stakeholders / analysts and ensure assembled data assets used for model development meet business requirements.
- Build & maintain data dictionaries / data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives.
- Monitor the execution & performance of data models and liaise with IT for any technical / system outages.
- Keep track of datasets / tables in the working schema and support purging of unused tables periodically.
- Perform data analysis required to troubleshoot data related issues and support the resolution of raised data issues.
Skills / Qualifications:
- 2-5 years of experience working in a data engineering and / or data operations role, ideally in the financial services industry.
- Proficiency in Python/ Spark and SQL to code complex data engineering use cases.
- Experience with schema design and dimensional data modelling.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Familiarity with Agile methods and tools like JIRA
- Ability to create and maintain production read data 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.
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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