Why CompatibL?

CompatibL is at the forefront of the financial industry providing software solutions and consultancy services for XVA, regulatory capital and limits. CompatibL has over 200 experienced developers and financial engineers and boasts a client base of over 50 banks, central banks, supranationals and asset managers in the US, EMEA and Asia, including four out of the five largest derivatives dealers. Over 70 major projects have been implemented across this client base.
Compatibl Risk, Software and consultancy services
AAD: Adjoint Algorithmic Differentiation

Company introduction

CompatibL offers turnkey solutions for XVA and regulatory capital as well as full support, implementation and customisation services by experienced XVA quants and development teams.

Overview

CompatibL Risk software

An advanced software platform for XVA, capital, initial margin and regulatory calculations, using a choice of CompatibL engine, in-house or external analytics.

Highlights
AAD in the Risk application

Quantitative Consultancy

CompatibL’s quantitative research team led by Alexander Sokol has a track record of constructing valuation and risk models used by over 350 banks and asset managers in 25 countries

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Libraries

TapeScript is an open source library for adjoint algorithmic differentiation (AAD) developed and maintained by CompatibL.

TapeLib is a commercial library extending TapeScript with features specific to quantitative finance and large scale AAD programming.

Services

CompatibL provided integration and implementation services for multiple in-house systems and leading vendor solutions as well as bespoke project work

Details

Quantitative Research

Our quantitative research team with Alexander Sokol at the head is actively involved in scientific research and field-specific activities.

Leading Publications
Vector AAD for Large Portfolios: Applications to XVA, FRTB, Dynamic IM, and KVA/MV
Download the latest research on AAD presented at the QuantTech and learn more about the algorithmic optimisation technique
2 June, 2016
How will Adjoint Algorithmic Differentiation (AAD) help with the new FRTB regulations?
Alexander Sokol gives his insights at Global Derivatives 2016
18 May, 2016
Highlights of the latest regulatory developments in quant finance at Global Derivatives 2016
Read the summary of the issues addressed in the series of presentations
12 May, 2016