Today, Central Banks and Supervisors have access to vast amounts of granular, structured and unstructured data.
The ability to operationalize this data through automated modeling, analysis and visualization is critical for both macro- and microprudential supervision to be effective.
This is even more the case in the current economic climate, with market dislocations and long-tailed credit risk emerging, and ever-increasing global interconnectedness on financial systems and markets.
FNA’s Suptech offering encompasses two core solutions:
Our Suptech Analytics solution allows Central Banks and Supervisors to operationalize, analyze and run models and simulations on large datasets. The results can be visualized via clear dashboards that help users understand these datasets, identify risks and enable proactive real-time monitoring. This allows financial authorities to quickly identify problems and anomalies that could result in systemic instability.
For organizations new to Suptech or for those looking to expand their knowledge, our Suptech Training equips Heads of Suptech, economists and analysts with the training, knowledge, skills, expertise, and toolsets to implement key Suptech initiatives and rapidly develop new Network/AI/ML driven solutions that operationalize large datasets and improve the quality of supervisory analysis.
FNA’s Suptech Analytics solution allows central banks and supervisors to:
The solution makes use of more than 300 out-of-the-box network analytics, simulation, and Artificial Intelligence and Machine Learning algorithms that are tailored to the regulatory and financial services community. This makes FNA Suptech solution completely unique, applicable across a variety of local as well as cross-jurisdictional use cases.
