Modelling of operational risk capital and insurance

About the course

Gain comprehensive insights into the modelling of operational risk capital and insurance with this interactive learning experience. 

Guided by subject matter experts, this course delves into the evolution of operational risk models, emphasising the regulatory framework with a focus on the new standardised measurement approach (SMA) and advanced measurement approach (AMA). Participants will explore advanced data analysis techniques essential for understanding and managing these risks. 

The course also explores the role of insurance, discussing its function from loss mitigation angles to the technicalities of risk transfer. A standout feature is the hands-on Microsoft Excel demonstration, equipping attendees with practical tools to apply concepts in their professional environments. 

This course ensures a solid understanding of the theoretical underpinnings and tangible skills necessary for effective risk management. 

Pricing options:

• Early-bird rate: save up to $800 per person by booking in advance (refer to the booking section for the deadline)
• 3-for-2 rate: save over $2,000 by booking a group of three attendees (applicable to this course)
• Subscriber reward: save 30% off the standard rate if you are a Risk.net subscriber (use code SUB30)
• Season tickets: save over $1,000 per person by booking 10 or more tickets (available on selection of courses)

*The 30% subscriber reward discount is applicable only to current Risk.net subscribers. If this criteria is not met, we reserve the right to cancel the booking and issue an invoice for the correct rate. Discounts cannot be applied to already registered participants.

Tutors

Eelco van Dijk

Operational Risk Analyst Capital Management

Independent Consultant

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Eelco van Dijk has had a significant career in the financial sector, notably at ING Bank where started working in 2008. At ING he worked in the modelling and scenario team of group operational risk. He handled the complexities of internal loss events, including data quality and completeness.

Before ING, Eelco spent nearly 20 years at ABN AMRO in various risk roles.

He also previously held a position on the Risk Committee of the Dutch VBA CFA chapter.

Eelco currently volunteers at Hendrick de Keyser, showcasing his commitment to both professional and community endeavours.

 

Ruben D Cohen

Howden Group Holdings

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Ruben’s career in the financial industry began in 1999 at Citi, London, working in Asset Management, Corporate Finance, Audit, Compliance, Operational and Credit Risk Analytics and, finally, Model Validation. After Citi, he had a spell at Bank of America working in Model Audit and prior to joining Howden Group in January 2022, Ruben worked at Aon for three years, where he was the technical lead on a number of operational risk and credit risk engagements.

Prior to entering the financial industry, Ruben spent 10 years on the faculty of Mechanical Engineering & Materials Science at Rice University in Houston, specializing in Fluid Mechanics and Thermodynamics.

Ruben has a BEng and an MS in Mechanical Engineering, an MA in Economics from McGill University, Canada; and a PhD in Mechanical Engineering from MIT.

Pre-reading materials

The Risk.net resources below have been selected to enhance your learning experience:

• Machine learning for categorization of operational risk events using textual description - Read article
• The information value of past losses in operational risk - Read article
• Measuring tail operational risk in univariate and multivariate models with extreme losses - Read article

A Risk.net subscription will provide you access to these articles. Alternatively, register for free to read two news articles a month.