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CIMB

Special Asset Management Specialist - SME

CIMB
BusinessSingaporeFull-time2 months ago
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About the role

AI summarised

This role is for a Special Asset Management Specialist focusing on SME portfolios at a bank. The specialist will manage portfolio risk segregation, develop monitoring frameworks, perform data analytics, and lead process optimization initiatives to enhance asset quality monitoring.

BusinessFull-timeGeneral

Key Responsibilities

  • Prepare & review logic for SME account segregation & risk identification, ensuring scripts / code is operational & accurate
  • Prepare Monthly Portfolio Management and Monitoring Decks and facilitate key credit portfolio meetings, conduct tail risk analysis & develop efficient exception review triggers
  • To engage with relevant stakeholders on enhancements to be made to SME Portfolio Management and monitoring framework
  • Formalize all enhancements & customization of SME Portfolio Management and Monitoring Framework in the appropriate local & group committees
  • Maintain SME Portfolio Management and Monitoring Framework process manual with annual review / ad-hoc updates
  • Conduct Monthly Portfolio Management and Monitoring Forum, monthly with minimum quorum
  • Develop and maintain dashboards and reporting tools to monitor asset quality metrics (e.g., NPL ratios, delinquency trends, vintage analysis)
  • Perform deep-dive portfolio analysis to identify emerging risks and recommend mitigation strategies
  • Collaborate with data teams to ensure data integrity, consistency, and availability for asset quality monitoring
  • Lead or support initiatives to digitize and automate asset quality monitoring and reporting processes
  • Identify and implement process improvements across credit lifecycle stages (origination, monitoring, collections)
  • Partner with technology teams to design and deploy tools or systems that enhance risk visibility and decision-making

Requirements

  • Bachelors Degree in Data Analytics, Statistics, Business, or a related field
  • Proficiency in data visualization tools (e.g. Qlik, Power BI, Tableau)
  • Proficiency and Excel
  • Experience with Python, SQL, SAS, or other data manipulation tools