What You'll Bring:

• 7+ years of strong, diverse experience in the data and Fraud analytics space
• Deep understanding of Fraud analytics and its commercial application
• Strong programming skills with the ability to work with and transform large datasets; proficiency in R/Python, advanced SQL, and big data technologies (Hive, Scala, Spark, Hadoop); experience with cloud platforms (AWS/GCP) is a plus.
• Experience in developing statistical models - Research, develop, test, and document methodologies/models, procedures and related processes.
• Model implementation and ongoing validation - Liaise with other stakeholders to facilitate model approval and implementation; participate in formulating implementation requirements, and conducting pre-implementation testing and continuing support
• Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solvi...