Develop credit risk models (scorecards) applying statistical analysis, credit life cycle principles, predictive modeling, machine learning and Big Data and using programming languages such as SAS, Python and SQL for international and U.S. business risk management. Develop, enhance, and validate methods of measuring and analyzing risk and risk types including market, credit and operational. Develop, validate and strategize uses of scoring models and scoring model related policies
Requirements:
Requires a Master’s degree (or foreign equivalent), in Mathematics, Statistics, Business Analytics or related field and 3 years of experience as a Senior Specialist, Credit Risk Analyst, Business Analyst, Data Analyst or related position involving credit risk analysis for the financial services industry
Text:
Model/Analysis/Validation Officer Develop credit risk models (scorecards) applying statistical analysis, credit life cycle principles, predictive modeling, machine learning and Big Data and using programming languages such as SAS, Python and SQL for international and U.S. business risk management. Develop, enhance, and validate methods of measuring and analyzing risk and risk types including market, credit and operational. Develop, validate and strategize uses of scoring models and scoring model related policies Requires a Master’s degree (or foreign equivalent), in Mathematics, Statistics, Business Analytics or related field and 3 years of experience as a Senior Specialist, Credit Risk Analyst, Business Analyst, Data Analyst or related position involving credit risk analysis for the financial services industry
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