A Top Five Financial Institution Problem
One of the top five financial institutions in the world had risk models that took a week to run and they were struggling to meet compliance in current expected credit losses (CCEL) and comprehensive capital analysis and review (CCAR). Their internal teams had been unable to accelerate their SAAS-based models to meet requirements.
Solution
OpenTeams Open Source Architect updated their risk model to run on Python and utilize fast numerical libraries like NumPy and Numba. The ESA also moved the model to a high-performance deployment on computation clusters using PySpark
Outcome
The result was over 100X improvement in computational speed allowing the client to meet regulatory requirements. The tools and techniques introduced by Quansight have since been adopted widely within the company.