Job Description

  • 6-8 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, SQL
  • Experience of working on big data
  • Understanding of Business rule engine (BRE) and other IT related processes and platforms leveraged for risk management in retail lending
  • Knowledge of credit bureau data and Account aggregator data
  • Knowledge of principles of risk management (life cycle management of customer credit), credit appraisal, risk analytics, industry and product trends
  • Experience of hiring and managing Data Scientists and Analysts.
  • Effective verbal and written communication skills


Skills Required
Python, Pyspark, Sql, Risk Management

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