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SAS Risk Modeler - Analyst

Newt Global
Irving Full-day Temporary

Description:

Requirements: 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.Use
Apr 8, 2024;   from: dice.com

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