An issue for op risk managers is scaling modelling data to a relevant size without sacrificing its value through over-manipulation. Using a query model to determine which data to use makes the process...
To avoid having its call centre targeted by an organised crime gang, a bank needs to ensure it has enough controls in place to deter criminals, but not so many that it becomes less useful to customers...
Discussion at Operational Risk & Regulation’s New York conference focused on limitations of operational risk management, particularly the risks associated with models, data and calculations
This handy guide reviews the various steps banks are taking to improve their risk management techniques, looking at the benefits and pitfalls of each one.
More Features/Operational Risk articles
Rudi Bonte at Belgium’s central bank understands twin peaks supervision, having worked through its implementation there. And as a member of the Basel Committee and the European Banking Authority, he knows what to expect from Basel III and European standards....
Michael Haackert and Sven Regling look at how the insurance industry could tap into banks’ knowledge and experience in using scenario analysis to help manage operational risk and calculate capital requirements
Energy trading and risk management reporting, not always the most effective operation at energy trading firms, is undergoing an efficiency drive across the industry, finds Gillian Carr
Proactive management of operational risk is critical to ensuring an organisation responds effectively to ever-changing market conditions and regulatory environments. Julie Shochat and Kenzel Fallen outline how to align strategy, processes and technologies...
Technology can provide a competitive advantage in banking. How it is applied by Tier 1 and Tier 2 institutions, to the benefit for their risk management systems, is discussed.
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