CECL

May 27, 2022

Positioning and evolving privacy programs to account for different programs across jurisdictions

May 27, 2022

Best practices for validating machine learning models

May 27, 2022

Incorporating model risk management principles across lines of business and risk

By Heather Russell, Director Model Risk Management, Bank of America
May 27, 2022

Has regulation gone too far or is there still more to be done?

By Bill Coen, Basel Committee on Banking Supervision & Chair, IFRS Advisory Council
May 27, 2022

Definition and classification of a model under the global guidelines and treatments across the institution

By Daniel Hoyt, Head of Model Validation, Euroclear
May 27, 2022

Changing culture to incentivize and promote good conduct

By Nison Nagdimov, Senior Operational Risk Manager, Citi
May 26, 2022

Integration of stress testing with financial planning and driving strategic decisions

By Venkat Iyer, Director of PPNR Forecasting, Santander The insights in this article are not necessarily representative of Santander
May 26, 2022

How to leverage stress testing for strategic and competitive advantage

By Ty Lambert, Chief Data Analytics Officer, BancorpSouth
May 26, 2022

CECL model implementation and execution: 1st line model validation / risk management and running alongside stress tests in a cohesive framework

By Michael Jacobs, Lead Quantitative Analytics and Modeling Expert, PNC
May 26, 2022

Validation and Governance of the use of AI and machine learning models to increase efficiency

By Paul O’Donovan, Director, US Model Governance, BMO Financial
May 26, 2022

Next generation of Stress Testing: Using as a tool and BAU integration

By Liang-Khoon Koh, Director Stress Testing, Silicon Valley Bank
May 24, 2022

Collecting and storing quality data for CECL model requirements

By Shannon Kelly, SVP, Director, Model Risk Management, Zions Bancorp
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