3rd Edition: Advanced Model Validation 2017 | Marcus Evans | 17 October 2017 | DoubleTree Suites by Hilton Hotel - Times Square, 1568 Broadway, New York, New York, 10036-8201, USA

Strengthening Model Risk and Validation Controls to Achieve Consistency in Scope and Depth, Conceptual Soundness, and Thrive Under New Regulatory Rigor.

Why You Should Attend:

The combination of increased regulatory rigor and emerging technology has spurred the financial industry to improve their modeling procedures. Complex and sophisticated models are being introduced to offset the ever widening scope of decision making. With the use of advanced analytics, models are being developed that incorporate cutting-edge technology such as artificial intelligence and machine learning. Reinvigorated models can lead to higher performance, regulatory compliance, better AML and fraud detection, as well as bolster customer relationships. Advancements in model risk frameworks and validation procedures are vital for the success and longevity of risk management efforts.

The 3rd Edition: Advanced Model Validation Conference will address key topics such as: model governance, integration of model risk into the broader ERM framework, model identification and classification, model development, vendor model capabilities, emerging technologies, data quality and usage, machine learning and artificial intelligence, AML model approaches and validation, aggregate risk, ongoing monitoring, model reporting, implementing CECL, qualitative assumptions and lower tiered models, the three lines of defense, staff retention, plus much more!

Key Topics:
• Integrate model risk and model validation into the broader enterprise risk management framework with Bank of America
• Assess the pros and cons of developing and validating in-house models and vendor models with State Street
• Develop a CECL implementation roadmap to conquer key challenges and ensure compliance with Fifth Third Bank
• Streamline model validation procedures through efficient, sustainable, and auditable strategies with Wintrust Financial Corporation and U.S. Bank
• Explore strategies for hard-to-test models and examine the emergence of machine learning, artificial intelligence, and the impacts on model validation with TIAA

2017 SPEAKERS

Harish Sharma
Managing Director, Model Risk Officer, Consumer & GWIM
Bank of America

Marlene Lenarduzzi
Vice President, Head Model Validation
BMO Financial Group

Yakov Lantsman
Head of Model Risk Management Group
M&T Bank

John Guo
SVP, Head of Enterprise Credit Modeling and Analytics
Fifth Third Bank

Shelly Shi
Vice President, Model Validation
BNP Paribas

Sean (Xiaoling) Yu
Director of Model Validation, Senior Vice President
KeyBank

Alexey Smurov
Senior Director, Model Validation
Capital One

Andy Mack
Senior Vice President, Head of Model Risk Audit
Wells Fargo

2017 SPONSORS

McGuire Performance Solutions