Venue
Online

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Event Date Wed Feb 17 UTC - Fri Feb 19 UTC (almost 4 years ago)
In your timezone (EST): Wed Feb 17 3:00am - Fri Feb 19 12:00pm
Location Online
Region EMEA
Details

Since its initial go-live date, the effects of IFRS 9 upon the banking industry have been substantial – particularly so within credit risk modelling. Since initial implementation, a number of issues have been identified with credit risk modelling under the standard. Whilst credit risk models continue to evolve and develop alongside these issues, challenges still remain, alongside related difficulties in the management and provisioning of loans. Whilst there are lingering concerns regarding the increased complication caused by the model, and the lack of data, refinement remains a focus, refinement of models remains a focus. With the increased role of model validation, alongside the application of higher quality data and previous results informing the development of new and more effective credit risk models. Whilst many of the existing issues remain, and will require further work to remedy entirely, there are areas where the industry is looking ahead. The work being done in applications of AI and machine learning, and the introduction of climate risk into credit risk modelling offer two of the most exciting new prospects with the field – offering new ways to manage and produce credit risk models.

With this is mind, this marcus evans conference will focus upon the refinement of credit risk models, necessitating IFRS9 with feedback from data, validation and audit insights, as well as AI.

Can’t physically attend this conference?

Don’t worry we have you covered! If your ability to travel is restricted we know your appetite for key business insights remains so our Live+ digital platform enables you to fully participate in the event remotely. Of course it provides access to live online streams of all session, but much more than that, it ensures you are able to engage with speakers directly allowing you to participate in Q&A, relevant breakout groups as well as event polling and other insights and resources delivered during the event. We realise interacting with other delegates is key to your event experience, so our innovate online solution allows you to set up online meetings with other virtual and physical attendees throughout the event; ensuring you still walk away with those key contacts that can make a tangible difference to you and your business. The platform will continue to host all event content on-demand for you to re-visit and continue to access for up to 6 months post event.

Your content. Your way.

Key Topics:
• Examine the performance of credit risk models in the context of changing macroeconomic conditions throughout COVID-19
• Increase the ability for credit risk models mandated by IFRS 9 to perform throughout COVID-19 by addressing data quality, availability and validation
• Fine tune credit risk model parameters with macroeconomic effects of COVID 19 using post model adjustment and forward looking
• Address national definitions of defaults for IFRS 9 throughout COVID-19 and how this impacts the provisioning of assets at various stages
• Learn how banks are improving credit risk models’ ability to respond to changing market conditions using machine learning

Speakers

2021 Speakers

Gregoire Babin
Executive Director – Wholesale Credit Analytics & Solutions, JP Morgan

Xun Su Asklund
Expert IFRS 9, Swedbank

Maikel Van Herel
Head of Credit Risk Modelling, Rabobank

Mahmoud Fatouh
Economist, Bank of England

Laurent Van Malderen
Retail Credit Risk Management, Axa Bank Europe

Louis Brown
Head of Credit Risk Modelling, Investec

Aaron Hanly
Head of Impairment and MI, Permanent TSB

Parmod Garg
Chief Risk Officer, PNBIL

Sponsors & Partners

2021 Sponsors and Partners

SPONSORS:
• FCG
• RSU

PARTNERS:
• Global Risk Community
• Fintech Community
• Financial IT