1. Skilled in SAS, SQL and Automation. Would prefer if the candidate has experience in visualization tools like Power BI/Qlik/Tableau. 2. Good knowledge of Banking domain (specifically Credit Risk Analytics Domain). 3. The candidate should have excellent written and verbal communication skills 4. Good stakeholder management skills 5. Experience in Marketing Analytics especially tracking Have work experience of working on data science problems. Experience of working in Banking and Credit Risk, Statistics modeling techniques like liner and logistic regression, decision tree and random forest Exposure to IFRS9 model development with parameters like PD, EAD, LGD, understanding of Application and Behavioral Scorecard Development Understanding of collections and recoveries business aspects Good knowledge of SAS and SQL Good communication Skills