REQUIRED QUALIFICATIONS

Bachelor’s degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 2+ years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics; 1+ year with Master’s or Ph.D.
Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions
Hands-on work experience with statistical coding in SAS and/or Python
Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing
Knowledge of financial crime regulatory requirements, technology, and data analysis best practices
Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience

Please refer the Job description for details