Qualifications/Requirements:Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial services, banking, or retail.4+ years of hands-on and proven experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake , H2O, SageMaker and AWS.4+ years of statistical analysis and the handling large amounts of data and analyzing for trends.4+ years of experience with the application of US regulatory requirements for Model Risk Management. Ability and flexibility to travel for business as requiredDesired Characteristics:Strong knowledge of Regulatory requirements for Model Risk Management with proven track records of delivering Regulatory requirements.5+ years of proven experience in Model Risk Management in modeling and validation in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline.