Nikhil draws on 20 years of analytics experience to advise clients on anti-money-laundering and financial-crime compliance. Nikhil leads Promontory’s AML/FCC Analytics team and is a member of the IBM Industry Academy. He has extensive experience in program design and review, with a focus on applying machine learning and analytics to risk assessments, models for rating client risks, transaction-monitoring system optimization, suspicious-activity reporting, metrics and reporting, and model validation. His client engagements focus primarily on improving the efficiency and effectiveness of transaction-monitoring systems by deploying machine-learning models, undertaking rule design and threshold tuning/calibration, and deploying case/alert risk-scoring models. Nikhil joined Promontory from Standard Chartered, where he headed the analytics function for financial-crime compliance. His roles included leading a global team of data analysts and data scientists to set and maintain the operating parameters of the bank’s monitoring, screening, and filtering systems. Nikhil holds an MBA from the University of California, Los Angeles, and an MA in Economics from the University of Southern California.