Deriving Value from
Operational Risk Modelling
London, February 28 - March 1

Day one will commence with an overview of op risk and the regulatory scope. The BCBS intentions and proposals through their SMA will be explained and comprehensively covered, moving on to an explanation of sources of new data and how best to prepare these and ensure your strategies will hold up. Following
this, a substantial scenario analysis overview, going through the steps and how to mitigate unconscious behavioural biases.

Day two continues with methods for dealing with operational loss data, moving on to stress testing in operational risk modelling and how to develop the best possible methodologies and ensure consistency in your practices. The course will end with an overview of current and future ‘new' risks and what's next for op risk modelling.

Event Tutors:

  • Michael Schouten, Senior Manager - Op Risk, RBS
  • Andrew Sheen, Head of Op Risk Regulatory Advisory, Credit Suisse
  • Silvia Mongelluzzo, Capital Model Manager, VP, Barclays
  • Lydia Robinson, Modelling Manager - Capital Management, Nationwide
  • Claude Stephan, Chief Operational Risk Officer, Groupe BPCE
  • Bertrand Hassani, VP, Chief Data Scientist, Capgemini Consulting
  • Thomas Jaeggi, Manager, Oliver Wyman
  • Ruben Cohen, Independent Consultant

Course Highlights:

  • Learn about the regulatory landscape of op risk modelling and the timeline of implementations
  • Enhance your understanding of the standardised measurement approach (SMA) through discussion surrounding the strengths and weaknesses of the proposal
  • Gain an understanding of various types of op risk modelling including stress testing & scenario analysis
  • Comprehensive overview of how to derive value from different modelling options
  • Learn how to develop a methodology and implement best practices in stress testing operational risk models
  • Discuss arising future risks including cyber, Fintech & machine learning and how you can find and utilise new data sources to enhance your modelling capabilities

Who Should Attend:

This course is primarily aimed at those working in operational risk modelling however Risk welcomes anyone who would benefit from this training. Specific job titles may include but are not limited to: 

  • Head of Operational Risk
  • Operational Risk Managers
  • Op risk data analysts
  • Operational Risk Modellers
  • Risk Managers
  • Quantitative Analysts
  • Model Validation
  • Stress Testers
  • CROs
  • Consultants
  • Regulators


Learning Outcomes:

  • Learn about the changes to op risk modelling regulations, what the strengths and weaknesses of these and how can you make changes to comply
  • Understand the BCBS proposal to move from AMA to SMA and learn how data can be used to find capital under this regulation
  • The various types of op risk models that are available and how to choose the best option for your requirements
  • Scenario analysis - An overview and how to mitigate & assess potential biases and rare occurrences
  • Gain a comprehensive understanding of the quantitative and qualitative models for stressed operational risk & review best practice approaches
  • What comes next? What can you do to ensure you maintain compliance and hit implementation deadlines and how things are likely to continue to change post 2022 final SMA implementation
Risk Training Calendar Q1 2018
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