Traditionally, testing risk models is a complex and time-consuming manual process. Meanwhile, regulators are urging banks to improve the governance and documentation of models – but talent is often at a premium within the quant team.
We helped a leading US investment bank by building an easy-to-use module for automated model testing that allowed them to speed up and streamline their processes without adding head count.
Read this in-depth case study to learn:
Want to know how your quant or risk team could take advantage of automated model testing? today!