Risk
Frameworks
and
Categorisation
Enterprise and
Operational Risk Management, the cornerstones of Sarbanes-Oxley and Basel II,
can only be effective if built upon the foundation of a risk classification
framework tailored to the characteristics of the institution and applied in a
consistent manner across the whole enterprise.
This framework will structure,
document and apply numerical indicators to:
The Challenge
Each
institution has to develop a risk framework tailored to its individual
requirements. However, institutions often experience difficulty in reaching
enterprise-wide agreement on a framework that meets all identified needs.
Everyone is an expert when it
comes to risk in their part of the organisation and everyone, left alone, would
produce a very different framework of risks, controls, event and indicators and
the numerical categorisation to coordinate these. There is a danger that this
exercise alone can take many months of user discussions.
The
DXL
Solution
DXL
has joined forces with Rawlings & Co to develop a structured
modular framework designed to drive and support the activities of each
institution in responding to this challenge. This is based on two linked
components:
-
A
pre-prepared template of a modular risk classification framework.
This integrates relevant
elements from standard industry frameworks (e.g. COSO, AS/NZ 4360, British
Bankers Association, the UK regulator as well as existing users) and
consists of a core plus industry-specific modules.
-
A
structured workshop-centred approach for tailoring this framework.
A fast-path approach
combining consulting with two moderated workshop sessions to customise the
above template to meet your institution's needs. It is designed to achieve
buy-in across the organisation in the shortest possible time.
DXL's Risk Framework
and Categorisation approach will accelerate the process of starting
risk management and event collection. Out target is a few weeks
rather than the many months that has been industry experience!
For further detail,
please
download this
151 Kb PDF attachment.
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