Understanding and Implementing CECL
Sessions include quantification methodology, model risk management for CECL models, and the impacts of COVID-19 on CECL.
Higher credit loss provisions reflected the deterioration of borrower creditworthiness due to the effects COVID-19 is having on the global economy, and CECL has only added additional volatility into this process. It is essential that banks need to account for these likely losses by taking provisions now.
This four-day online course has been designed to specifically meet the needs of those working to implement the current expected credit loss (CECL) regulation. Industry experts will be covering need-to-know topics such as quantification methodology and the impacts of COVID-19.
Attendees with have the opportunity to lean from like-minded practitioners from various organisations and apply best practice approaches to CECL.
What will you learn?
- Key challenges and opportunities of CECL
- How to account for different scenarios
- Quantification methodology such as modelling considerations
- Evaluate CECL assumptions for model risk management
- Model implementation processes and governance
- How to incorporate COVID-19 scenarios
Who should attend?
Relevant departments may include but are not limited to:
- Risk management
- Model validation
- Internal audit
- Quantitative analysis
Our live, virtual training courses have been designed to engage and inspire you. Much more than a webinar, our approach includes:
- Technical content compressed into 60-minute interactive sessions and spread out over two, three or four days
- Facilitated collaboration including Q&A, interactive polling and group workshops
- Live interaction with subject matter experts – get your questions answered in real time
- Receive comprehensive course materials and supporting content from Risk.net to reinforce your learning
- Stay connected with other learners and extend your network by joining our dedicated LinkedIn group for course participants
President & founder
Grigoris Karakoulas is the president and founder of InfoAgora Inc. that has provided risk management consulting, prescriptive analytics, RegTech solutions (CECL/ IFRS9/IRRBB/Basel III) and model risk management services to Fortune-500 financial institutions with multi-million dollar benefits. He is also Adjunct Professor in the Department of Computer Science at the University of Toronto. Grigoris has published more than 40 papers in journals and conference proceedings in the areas of machine learning, risk management and predictive modelling in banking. He is on the PRMIA subject matter boards for Stress Testing and Enterprise Risk Management. He holds a PhD in Computer Science (Artificial Intelligence).
Kevin J Clarke
Executive director, group compliance, regulatory and governance - Americas
Dr William Segal CFA
Principal and founder
Ipso Facto Solutions LLC
Dr William Segal, CFA is Principal and founder of Ipso Facto Solutions LLC, a New York-based boutique consulting firm offering specialized model development and review expertise. His team has completed engagements at some of the world’s largest financial institutions covering a wide range of analytics for purposes including anti-money laundering, the Current Expected Credit Loss (CECL) accounting standard, and capital adequacy.
Before launching Ipso Facto in 2016, Dr Segal held leadership positions at Fannie Mae, Capital One, and at financial regulatory agencies in Washington DC. Dr Segal holds an undergraduate degree from Harvard and an Economics PhD from Berkeley.
Lead Statistical Modeler
10+ years experience on financial data analysis & risk modeling of retail, wholesale, balance sheet and Fraud using SAS/R/Python/SQL upon statistical/econometric modeling, simulation, optimization & machine learning, covered CCAR stress testing credit loss forecasting, PPNR and BAU operational risk, AML, ALLL/IFRS 9/CECL, Basel/RWA, economic capital, counterparty credit risk, liquidity and interest rate risk modeling, validation, auditing, implementation and documentation
Dr. Bizan specializes in econometrics, industrial economics, and finance. His primary focus is on applying economic theory and econometric modelling to complex business environments. For over 20 years, Dr. Bizan has assisted corporate and government clients in a variety of economic and financial matters that require expert evaluation of economic issues and the analysis and interpretation of economic data.
Dr. Bizan has been helping medium- and large-size banks comply with risk management regulatory requirements for DFAST, CCAR, CECL, and Basel II and III, supporting them in all stages of the process from the design of risk management policies through data collection and preparation, modeling, reporting, documentation, and model validation. He has led engagements that include a wide range of financial institutions including commercial banks, federal home loan banks, hedge funds, and risk management advisories.
Dr. Bizan taught undergraduate and graduate courses at the economics departments of Northwestern University, Haifa University, and Tel Aviv University. His research focuses on the analysis government support to international R&D joint ventures and the economics of innovation and has been published in leading peer-reviewed economic journals.
Dr. Bizan holds a Ph.D. and M.A. degrees in economics from Northwestern University, as well as M.A. and B.A. degrees in economics, summa cum laude, from Tel Aviv University.
Head of Model Risk Management and Validation
Jacob Kosoff is the Head of Model Risk Management and Validation (MRMV) at Regions Bank, serving in this role since May 2014. Jacob has held roles in model development, credit review and model risk management at Genesis Analytics, Freddie Mac & PNC prior to joining Regions.
Jacob serves on the Alabama Commission on Artificial Intelligence and Associated Technologies, an appointment he received from the Governor of Alabama. Jacob also serves as a member of the Board of Directors of the Levite Jewish Community Center and as a member of the CEO Search Committee for the Birmingham Jewish Federation.
Jacob was recently nominated by Regions Bank and selected by the Birmingham Business Journal as a Top 40 under 40 award recipient.
Jacob has developed a strong and stable quantitative team that has benefited from under 10% annual external turnover over the past four years. Jacob’s biggest accomplishment in his career has been in helping over 25 model risk management associates grow into other crucial roles at Regions that align with their career architecture plans and the banks’ needs.
The Regions model risk management and validation team is comprised of 44% female associates, up from 13% when he started in 2014.
Jacob is married Ilene Kosoff and they have three children.