Assistant Vice President, Data Management MY

Assistant Vice President, Data Management MY

5-8 years
Not Specified

Job Description

Responsible for maintaining the quality and accuracy of data loaded into the Risk Data Mart (RDM) to support Credit Risk Infrastructure (CRI) and Risk Analytics (RA) departments reporting, monitoring and analytics requirements.
Strategy and Planning
  • Understand the business needs of different teams in CRI, RA and other relevant Risk departments and propose solution enhancements that will benefit majority of the data users.
  • Identify data, clarify definitions and establish the mapping rules of data being loaded to the RDM and ensuring this information is maintained in new and/or existing documentation
  • Review new / enhancement product papers from Business Units and provide input on data requirements to facilitate Credit / Market Risk Weighted Asset (RWA) and Single Counterparty Exposure Limit (SCEL)
  • Work together with Risk teams to ensure that data mapped into the RDM meets Basel IRB Advanced requirements
  • Support the planning for monthly BAU reporting cycle activities together with team members, IT and the relevant business users and monitor that all planned activities are completed successfully in a timely manner
  • Support Risk teams on usage of data from RDM (e.g. RWA processing, Portfolio monitoring, scorecards monitoring, SCEL, etc).
  • Lead focus projects and ensuring the implementation is delivered with quality within the stipulated timeframe.

Business Performance and Management
  • Raise Change Requests (CRs) for RDM Extract, Transform and Load (ETL) rules change before sending to IT for implementation
  • Perform UAT for implemented CRs to ensure data from the all upstream sources are properly tested before deployment to production environment
  • Identify data quality and data governance related issues, promptly highlight to the Data Owners and track progress for resolution
  • Perform investigation on RDM data issues highlighted by the downstream data users and monitor for the closure of issues
  • Responsible for Data Integration from CIMB Entities/Subsidiaries/Branches to RDM for Group Risk reporting.
  • Support data integration to RDM
  • Work with other teams in Credit Risk Infrastructure to confirm on data requirements from new systems to be mapped into the RDM
  • Work together with new system project implementation teams to document data requirements and other interface file requirements into Interface Definition document
  • Raise CRs to IT team to map data from the new system into RDM and ensure UAT is successful before the new system goes live.
  • Work together with teams within and outside of Group Risk on Big Data / Machine Learning related projects
  • Support extraction of data from CRI's historical file server to Big Data platform for machine learning models and other risk data analytics.

People Management
  • Provide guidance to junior team members on how to maintain the overall integrity and quality of data loaded to Risk Data Mart (RDM) for CRI, RA and/or downstream use and enhancement of processes for operational efficiency within CRI, Group Risk and/or other Divisions.

Regulatory Compliance
  • Ensures the department's operations are in compliance with Group, local and regional regulations
  • Ensures the data required for regulatory reports submission are ready for usage as per agreed SLA

  • Degree in Computer Science / IT / MIS / Finance from a reputable university
  • Minimum 5 years of experience in data warehouse / data mart implementation and operations
  • Minimum 2 years of experience in project management (added advantage if Risk related projects).

Skillsets - Mandatory
  • Knowledge in SAS application (SAS-EG / SAS-Base)
  • Understanding data warehouse / data mart implementation and operations
  • Good knowledge in Data Management and Data Governance processes / controls
  • Fundamental understanding of ETL concept and design
  • Ability to write SQL queries for data profiling and issues investigation
  • Strong communication, writing and presentation skills (English)
  • Knowledge in loan credit administration and operational process flow
  • Knowledge in banking product features
  • Excellent analytical skills

Skillsets - Added advantage
  • Basic understanding of Basel, SCEL, Credit model implementation and other related regulatory requirements.
  • Basic understanding of core banking applications and / or loan origination systems
  • Knowledge in loan credit administration and operational process flow
  • Ability to design logical data models.
  • Experience in projects using Agile methodology
  • Knowledge or experience in Big Data implementation
  • Knowledge in Big Data Visualization tools such as Tableau, QlikView

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