SME Asset Quality Specialist SG

CIMB; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading financial institution in Singapore is seeking a skilled data analyst to manage portfolio risk and enhance SME account strategies. The successful candidate will prepare reports, conduct in-depth portfolio analysis, and develop data visualization tools for monitoring asset quality metrics. A bachelor's degree in a relevant field is required, along with proficiency in tools like Python and SQL. This role offers a dynamic work environment focused on continuous process optimization and transformation.

Qualifications

• Bachelor's degree in a relevant field.
• Proficiency in data visualization tools like Qlik, Power BI, or Tableau.
• Experience with Python, SQL, and SAS.

Responsibilities

• Prepare & review logic for SME account segregation & risk identification.
• Develop dashboards to monitor asset quality metrics.
• Lead initiatives to digitize asset quality reporting.

Skills

Data visualization tools

Python

SQL

SAS

Excel

Education

Bachelor's Degree in Data Analytics, Statistics, Business, or a related field

Job description

Key Responsibilities

Portfolio Risk Tiered Segregation & Account Strategy

• 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

Governance & Discipline

• 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

Data Analytics & Insights

• 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.

Transformation & Process Optimization

• 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