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 Skills: Performance Tracking, Mis, Python Experience: 3.00-8.00 Years