CIMB Bank Berhad

Assistant Manager - Credit Risk Infrastructure (Data Management)

Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur
13 Sep 2021
13 Oct 2021
Approved employers
Approved employer
Job role
Business analyst
Contract type
Full time
Experience level
Part qualified, Newly qualified

Job Purpose

Responsible for maintaining the quality and accuracy of data loaded into the Risk Data Mart (RDM) to support Credit Risk Infrastructure and Risk Analytics departments’ reporting, monitoring and analytics requirements. 

Job Responsibilities:

Strategy and Planning

  • Understand the business needs of different teams in Risk Management 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), Single Counterparty Exposure Limit (SCEL) and Non-Retail Portfolio Analytics.
  • Work together with relevant Risk reporting teams to ensure that data mapped into the RDM meets Basel IRB Advanced and other regulatory reporting requirements
  • Support the planning for monthly BAU reporting cycle activities together with team members, IT and the relevant business users; and monitor for timely completion of planned activities.
  • Support Risk teams on usage of data from RDM (e.g. RWA processing, Portfolio monitoring, scorecards monitoring, SCEL, models development, 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 the RDM for Group Risk reporting.
  • Support data integration to RDM
  • Work with other teams in Risk 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 File 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 in Big Data related projects
  • Support extraction of data from the 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 maintaining the overall integrity and quality of data loaded to Risk Data Mart (RDM) for downstream data users and enhancement of processes for operational efficiency.

    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
  • Job Requirements:

    • Degree in Computer Science / IT / MIS / Finance from a reputable university
    • Minimum 3 years of experience in data warehouse / data mart implementation and operations
    • Minimum 1 years of experience in project management (added advantage if Risk related projects).
    • 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

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