Currently at the end of every quarter banks deep dive all the individual trading records, positions, looking at counterparty, asset class, positions etc. Employees manually analyze and assess the variances to determine whether they should be explained to the regulatory authorities based on variance thresholds.
With Synechron’s Capital Walk Forward RegTech solution one can fully automate this process by applying machine learning. Using the machine learning tooling, the full set of data can be analyzed instantly to determine what variances need to be explained. There is a continuous improvement loop as any exceptions are flagged and resolved manually, allowing the algorithm to improve over time, reducing the exceptions to less than 10%.
To learn more about Synechron’s Capital Walk Forward Accelerator for financial services and the work we’re doing email us at email@example.com