Supporting global credit risk teams through comprehensive credit data analysis and assisting in the creation of effective portfolio problem‑solving models
Job Summary
Supporting global credit risk teams through comprehensive credit data analysis and assisting in the creation of effective portfolio problem‑solving models.
Assessing AR credit quality by analyzing aging, trends, performance metrics, and risk exposure, and delivering actionable recommendations to business leadership.
Developing automated and insight‑oriented dashboards and reporting tools using Power BI, or similar platforms to enhance accuracy, visibility, and operational efficiency.
Matching Summary
Supporting global credit risk teams through comprehensive credit data analysis and assisting in the creation of effective portfolio problem‑solving models.
Skills & Requirements
Must-have
Credit data analysis
Portfolio problem-solving models
AR credit quality assessment
Power BI dashboard development
Data integrity and quality assurance
Nice-to-have
Cross-functional team collaboration
Process improvement initiatives
Centralization and standardization support
Curiosity and creativity
Key Requirements
Bachelor's degree or higher in data analytics, statistics, economics, finance, or a related field
Six (6) or more years of experience in data analytics, reporting, or similar roles
Experience in Credit, Collections or Order to Cash