
Xcelerit helps financial services clients cope with the computational complexity resulting from the toughened regulation, and emerging trends (deep/machine learning).
Xcelerit has received recognition as a finalist in the Red Herring Europe Top 100 award, the Red Herring Top 100 Global award, and is a two-time winner of HPC Wire’s “Best use of High Performance Computing in Financial Services” award.
Xcelerit satisfied customers include the leading firms in investment banking, asset management, and insurance.
Our Awards
A major financial institution turns to Xcelerit for FRTB’s Internal Models approach and achieves a blindingly fast implementation.
In this paper we will zoom on Algorithmic Differentiation (AAD) as an efficient and robust alternative to compute sensitivities.
Applications of deep learning to quantitative finance (algorithmic trading, risk management, economic impact studies, asset allocation, etc).