Data Analyst

Description :

• PL Eligibility Base preparation (SQL)
• Portfolio Risk segmentation through Decision Trees and other ML (Python)
• PL Portfolio quality improvement through specific Credit Actions
• Process Quality (end-to-end customer journey) documentation, deviations tracking, change implementation
• PL Portfolio review and MIS

Functional Competencies :

• Strong Analytics background (Tableau dashboards, ML modeling)
• Very Strong with data tools: XL, SQL, python
• Good understanding of lending, credit risk
• Exposure to MIS, performance tracking
• Willingness to learn