Regulatory Roundtable with BNY Mellon, Accenture and ASG Technologies

With the retirement of LIBOR rates in Dec. 2021, financial institutions are scrambling to understand their LIBOR usage risk and exposure and accelerate plans to transition to new interest rates. Most organizations have made good headway in remediating contracts; however, as they turn to data management challenges, they have quickly discovered that updating their rate models is more than a find-and-replace exercise. To transition to alternative reference rates, organizations must first execute a comprehensive inventory of their data – where are the data assets and how will they be affected? Next, that data must be contextualized – what lines of business do they fall under and how much exposure will they incur? Finally, it must be evaluated – how do you calculate that risk, how is it modelled, how will a new offering rate alter that risk calculation and how can that data be transformed into the correct format?   Learn how leading financial institutions are tackling this massive effort—not just as a one-off, manual costly effort—but as an opportunity to enhance data management processes, improve data quality and leverage data intelligence to spark innovation and enable automated, cost-effective responses to evolving compliance mandates in the highly regulated financial services industry.