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European banks face increasing regulatory demands for reporting their financial and risk situation. Additionally banks must monitor internal performance and prepare additional reports for their own purposes. This places banks under scrutiny from regulators, who assess the quality and consistency of reports, and shareholders, who evaluate the efficiency of supporting functions, including Finance and Risk departments. PwC understands these challenges and offers comprehensive solutions to satisfy regulators and shareholders simultaneously.
Our comprehensive solution addresses risk and finance reports starting with those from the EU, followed by reports at the national level, and finally includes internal reporting to complete the delivery.
Many bank teams are involved and significant effort spent to:
Despite it, quality issues and mutual inconsistencies arise in the reports.
PwC has at your disposal a team experienced in:
Building a unique solution to cover the risk and finance reporting
This solution saves the effort spent on regulatory and internal reporting and improve the reporting quality and consistency.
PwC data model extension of BIRD
Logical data model with the needed attributes of the main entities:
Banks usually have enterprise data warehouse storing the granular data in a common banking model. This is the right source for Risk/Fin common reporting layer.
If it is not the case, PwC can help to create the data warehouse for the data needed for Risk/Fin reporting.
Exceptionally, some data sources can be loaded directly into Risk/Fin common reporting layer.
The core of the solution is Risk/Fin common reporting layer. It is based on BIRD data model enriched by PwC to cover the data needed for all the reporting. The reporting layer is equipped with Corrections application enabling to propose and to approve corrections in the data and to track them for an audit purpose. The corrections on the common data are realized just once and therefore the same way for all the reports.
Individual Risk and Fin data marts for different reporting purposes are then derived from the common quality data.
The solution can be hosted on MS Azure or Amazon AWS cloud or implemented specifically in a local bank infrastructure.