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EXL is seeking professionals who have developed end-to-end Credit Risk models using Python and SQL, and who are comfortable with model monitoring and validation. The role focuses on Credit Risk Model development, using SAS or Python, end-to-end model delivery, and ongoing monitoring and validation.
Experience with classification techniques such as XGBoost, LightGBM, and Random Forest is desired. This position requires at least 4.5 years of hands-on experience in financial services analytics and
We are seeking individuals who have developed Credit Risk Model using Python and SQL. Someone who have developed End to End model development and not just optimizing existing model. The person should be comfortable Model monitoring and Validating models .