Speaking as one - Convergence in Basel standards will require banks to rethink their risk infrastructures
This white paper explores an enterprise system capable of efficiently supporting the FTRB and internal model approaches in parallel, along with enhancements to their risk governance and reporting.
This white paper examines the challenges of adapting to the evolving regulatory landscape. It explores how a smart approach to data and innovative tools build resilience into a business looking to not just weather the storm but seize the advantage.
This white paper examines some of the most significant challenges introduced by FRTB, including risk reporting and aggregation. It provides a wide range of integrated software and technology solutions to help banks achieve FRTB compliance.
This white paper explores the benefits of moving financial data from legacy mainframes. It explains why maintenance costs along with lost opportunities builds a strong case for migrating sooner rather than later.
Developing Scenario Segmentation and Anomaly Detection Models - How analytics can be used for BSA/AML compliance programs
This white paper explores how segmentation models can help organisations significantly increase Anti-Money Laundering monitoring. It further explains how to blend both quantitative and qualitative methods to identify activity that poses the most risk to a bank.
This white paper explores the new requirements for intraday cash and liquidity management reporting introduced by Basel III. The paper further provides a solution to help organisations comply with this new regulation.
This white paper examines the interplay between the challenges and opportunities afforded by the growing breadth of digital channels offered by financial institutions. It further explores security solutions, background analytics and personnel for robust fraud protection.
Curt Burmeister is Head of Research Innovation and Financial Engineering for IBM Risk Analytics. In this exclusive video Curt discusses risk analytics and the importance of data management.
Diane Reynolds is Chief Data Scientist at IBM Industry Solutions for the financial services sector. In this exclusive video Diane discusses the cognitive computing capabilities that IBM is currently developing.
In relation to credit specifically, this white paper aims to strengthen a bank’s overall credit risk management strategy. It explores how organisations can use cognitive techniques to become more agile competitors in an increasingly demanding credit landscape.