Job Description

Job Purpose : Assist Cross-Sell Credit in achieving superior portfolio quality through a range of initiatives 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