CBA Team Contact
Includes a Live Event on 12/12/2019 at 11:30 AM (EST)
Nick Kiritz, Director and Lead Expert for Model Risk Management
ABOUT THE WEBINAR:
Financial firms continue to increase their investments in AI and machine learning to improve service offerings and increase efficiency, even as risk managers and regulators struggle to keep up. This webinar will focus on the most popular emerging use cases for AI and machine learning in consumer banking and their implications for risk and compliance managers tasked with controlling the incremental financial, reputational, and compliance risks. Risk and compliance stripes covered will include model risk, data governance, technology risk, operational risk, fair lending, and privacy.
THIS WEBINAR WILL COVER:
TOP 3 BENEFITS TO ATTENDEES:
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Nick is Director and Lead Expert for Model Risk Management at Promontory Financial Group, an IBM company. He works with clients across a variety of regulatory and jurisdictional environments to enhance the efficiency and effectiveness of their model risk management programs. He provides clients with guidance on model risk management policies, procedures, compliance; standards-of-practice; and design and implementation of model risk management systems to meet regulatory and risk management objectives, including significant work in model risk management for AI and machine learning. Nick has also advised vendors of model risk management systems, including providing advice to IBM on development of its the Model Risk Governance module for OpenPages and development of the OpenScale platform for AI risk management.
Prior to joining Promontory, Nick served as a risk manager at Constellation Energy and Exelon, where he led market risk management for a large merchant generation fleet; helped manage risks related to electricity, fuel, interest rates, and foreign exchange; developed an economic-capital model; and shaped policy for market risk, trader control, and liquidity risk. Before his work in energy, he led development and management of Fannie Mae’s model governance and validation program and later led its economic-capital modeling group. While at the OCC, Nick led the quantitative portion of reviews of interest-rate risk, mortgage banking, and securitization. He also led development of the OCC’s first model for interest-rate risk and designed and oversaw the one-week program to train examiners in the model’s use. At McKinsey, he focused on financial services and worked on subprime credit, bank stress tests, financial crisis management, and strategic reviews for stock brokers and financial-infrastructure firms.
Nick earned a M.B.A. in finance and a B.A. in Economics and Development Studies from the University of California, Berkeley. He is a CFA® charterholder and a certified Financial Risk Manager under the Global Association of Risk Professionals (GARP). He has published thought leadership in the area of model risk management in the Journal of Risk Model Validation, the RMA Journal, the ABA Journal and Law360.