FELABANCLAB 2019

Nikhil advises clients on anti-money-laundering issues, financial-crime compliance, and oth-er regulatory matters. He has extensive experience in program design and review, with a fo-cus 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 effi-ciency 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, screen-ing, and filtering systems.