AVP, Data Engineering and Ops
1 month ago
Job Responsibilities:
Responsible for designing and maintaining data architecture and pipeline in support of AML uplift analytics needs; support seam..
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.
Job Requirements:
- 3-5 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.
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