Maxime Fromentin
About Maxime Fromentin
Maxime Fromentin serves as the Principal Engineering Lead for the Market Data Calculation Chain at Murex, where he has worked since 2015. He specializes in computational methods and parallelization, utilizing technologies such as CUDA, MPI, and OpenMP.
Work at Murex
Maxime Fromentin has been employed at Murex since 2015, where he currently holds the position of Principal Engineering Lead for the Market Data Calculation Chain. In this role, he focuses on enhancing computational methods and parallelization, leveraging technologies such as CUDA, MPI, and OpenMP. Prior to his current role, he served as a Senior Software Engineer specializing in Risk Tools and Market Data from 2012 to 2015. His tenure at Murex spans over nine years, contributing to the company's advancements in market data processing.
Education and Expertise
Maxime Fromentin earned a Master of Science degree from Cranfield University, completing his studies from 2009 to 2010. He also studied at the Conservatoire National Des Arts Et Métiers, where he achieved a master's degree in 2014. His educational background is complemented by extensive expertise in high-performance computing, particularly in profiling and code optimization. He possesses specialized knowledge in finance, focusing on cash and derivatives markets, as well as commodities.
Background in Software Development
Maxime Fromentin began his career in software development with a role as a Trainee Embedded Software Architect at Thales in 2008. He then transitioned to a position as Project Manager at Dstl from 2007 to 2008. Following this, he worked at BNP Paribas as a High-Frequency Trading and Electronic Trading Server Developer from 2010 to 2012. He returned to Thales as a Junior Software Architect from 2008 to 2009 before joining Murex in 2012.
Technical Specializations
Maxime Fromentin specializes in computational methods and parallelization techniques. His technical expertise includes the use of CUDA, MPI, and OpenMP, which are essential for high-performance computing applications. He has a strong focus on profiling and optimizing code to enhance performance in software development. His experience in these areas supports his contributions to the financial technology sector.