Sameer Shaikh is a SAS Credit Risk and AML Consultant with over 14 years of experience in global banking and insurance. They specialize in various aspects of credit risk modeling and AML analytics, including Probability of Default (PD) and Loss Given Default (LGD) modeling, as well as AML transaction monitoring and fraud detection. Sameer has held key roles at organizations such as IDFC FIRST Bank and NTT, where they have developed automated reporting frameworks and implemented AML analytics solutions. They are also an author of five books on credit risk modeling and fraud/AML analytics, contributing valuable insights to practitioners and students alike. Sameer holds an MBA in International Business from Auckland University of Technology and several other relevant qualifications.
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