Anil leads EY Canada’s AI Governance and Model Data Management practices. He advises clients on the responsible use of AI and associated data by developing governance solutions appropriate to the size and complexity of the organization.
Backed by over 18 years of experience across the technology, banking and consulting industries, Anil and his team focus on instituting sound governance practices to use AI and data in a safe, controlled and regulatory compliant manner.
Before joining EY, Anil was the Executive Director in the Model Risk Governance and Review (MRGR) group at JPMorgan Chase & Co. Anil also worked as a Software Development Engineer at Microsoft for several years and later worked as a Desk Strategist for the Base Metals trading desk at Deutsche Bank.
Anil holds a Master of Financial Engineering from UCLA Anderson School of Management, Los Angeles, and a Bachelor of Technology from Punjab Engineering College in Chandigarh.
How Anil is building a better working world
"Anil is helping organizations do the right thing while deploying AI in this era of lightning-quick advancements, paving the way for myriad cutting-edge use cases. He uses his experience across technology, cloud computing and machine learning to develop pragmatic solutions that consider the idiosyncratic risks associated with the specific AI use cases deployed by the organization.
"In the model data management world, he helps organizations realize the importance of data governance and implement leading-class practices for quality-assuring control, aggregation and reporting of risk data."
