4-9 years of relevant work experience in Credit Risk Model Development, Monitoring and Deployment.Experience of building risk models using both linear / non-linear algorithms (logistic regression, decision tree, random forest and various GBM algorithms)Preferred Coding languages : Python, Pyspark, SQLExperience of working on big dataUnderstanding of Business rule engine (BRE) and other IT related processes and platforms leveraged for risk management in retail lendingKnowledge of credit bureau data and Account aggregator dataKnowledge of principles of risk management (life cycle management of customer credit), credit appraisal, risk analytics, industry and product trendsExperience of hiring and managing Data Scientists and Analysts.Effective verbal and written communication skillsSkills Required
Python, Pyspark, Sql, Risk Management