Nikhil advises clients on anti-money laundering, financial crimes compliance and regulatory matters. He has extensive experience in program design and review with a focus on applying machine learning and analytics to risk assessments, client risk rating models, transaction monitoring systems optimization, suspicious activity reporting, metrics and reporting, and model validation. His client engagements primarily focus on improving the effectiveness and efficiency of transaction monitoring systems by deploying machine learning models, undertaking rule design and threshold tuning/calibration, and deploying case/alert risk scoring models.
Prior to joining Promontory, he was with Standard Chartered Bank with responsibility for the Financial Crime Compliance Analytics function. Earlier in his career, he worked with Citibank and Bank of America in marketing and risk analytics. Nikhil earned an MBA from the University of California, Los Angeles, and holds a Masters in Economics from the University of Southern California.