Problems that some financial organisations face in the pursuit of transparency and accuracy are old systems, inefficient infrastructure and trouble implementing and reporting on risk models. Old systems may result in data silos across the organisation and use inconsistent data definitions, making it difficult to consolidate that data and develop a consistent and repeatable process. Inefficient infrastructure results in disconnected processes throughout the model lifecycle, leading to inconsistencies in the stress testing results. Lastly, financial organizations may not have a well-structured, documented and transparent process that meets regulations, which means stress testing results are often erroneous and fragmented.
However, with stress testing solutions, risk management can be forensically analyzed on a single, centralized platform. Financial organizations can run specific and customized financial scenarios – all of which are compliant with the latest regulations – to support ‘what-if’ assertions, assess portfolio risk, and manage capital planning.
- Customizable risk & finance data model
- Built-in data quality & data lineage
- Streamlined process workflow
- Centralized model library & scenario management
- Reporting