CompatibL Technologies LLC
| Private | |
| ISIN | 🆔 |
| Industry | Software development, market and credit risk, model validation |
| Founded 📆 | 2003 |
| Founder 👔 | Alexander Sokol |
| Headquarters 🏙️ | , , |
Area served 🗺️ | |
| Members | |
Number of employees | |
| 🌐 Website | www |
| 📇 Address | |
| 📞 telephone | |
CompatibL Technologies LLC, doing business as CompatibL, is an international software development company headquartered in Princeton, New Jersey. The company provides trading and risk management software solutions, model validation and cloud services for the financial industry. Alexander Sokol is the founder and executive chairman of the company.
Overview
CompatibL was founded by Alexander Sokol, who was previously the CTO and one of the founders of Numerix. The company provides consultancy services and software applications for trading, market and credit risk, and asset liability management. The company provides integration technology between internal and vendor systems and analytics packages.
The quantitative research program by CompatibL has produced innovations in models and numerical methods for counterparty credit risk, settlement risk, risk premia in the yield curve, and adjoint algorithmic differentiation, among others.
In 2021, CompatibL's remote staffing procedures and cloud-native architecture led to positive infrastructural changes for major banks.
CompatibL and d-fine announced a partnership on May 7, 2021.
During the COVID-19 pandemic that prompted the increased use of cloud computing, CompatibL was able to reduce the infrastructure costs of deployments on AWS and on Azure for its clients by 62% and 72% respectively.[1]
CompatibL's market generator machine learning models can help meet the challenge of measuring pandemic-era risk and performing validation based on data with a short time series.[2]
Awards
CompatibL won Market Risk Technology Vendor Award for their market and credit risk product, CompatibL Risk, for two consecutive years—2017 and 2018. The company was also the recipient of the 2020 Best Cloud Platform Award.
CompatibL won the 2021 Best New Technology Introduced over the Last 12 Months Award for one of the earliest uses of machine learning for credit risk modeling.
CompatibL’s approach to cloud-native architectures in software applications was recognized by the 2021 Best Cloud-Native Computing Initiative Award.
CompatibL’s machine learning models for measuring risk from shorter time series during the COVID-19 pandemic were named Best Modelling Innovation at Risk Markets Technology Awards 2022.[3] [4]
CompatibL’s Chief Operating Officer, Olga Orekhvo, was named Vendor Professional of the Year (business development) at Women in Technology & Data Awards 2022.[5]
CompatibL Cloud Platform was named Best Risk Management Platform at the 2022 Fintech Breakthrough Awards.[6] [7]
Bibliography
CompatibL has collaborated with practitioners, regulators, and academic scientists on notable industry research papers including:
• Exposure under Systemic Impact
• Short-Rate Joint-Measure Models
• Rethinking the Margin Period of Risk
References
- ↑ "Approaching Risk Management With Your Head in the Cloud". The World Financial Review. Retrieved January 31, 2022.
- ↑ "Machine learning models: the new standard in capital markets". Risk.net. Retrieved February 22, 2022.
- ↑ "Markets Technology Awards 2022: the joy of flex". Risk.net. Retrieved February 17, 2022.
- ↑ "Best modelling innovation: CompatibL". Risk.net. Retrieved February 17, 2022.
- ↑ "Women in Technology & Data Awards 2022: All the Winners". Waterstechnology. Retrieved March 4, 2022.
- ↑ "FinTech Breakthrough Awards–2022 Winners". Cision PRWeb. Retrieved March 29, 2022.
- ↑ "CompatibL Recognized for Risk Management Innovation in 2022 FinTech Breakthrough Awards Program". Cision PRWeb. Retrieved March 17, 2022.
External links
This article "CompatibL" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:CompatibL. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
