Cherif Ben Mlouka
About Cherif Ben Mlouka
Cherif Ben Mlouka is a Product Manager specializing in Equity Derivatives at Murex in Paris, where he has worked since 2019. He leads a team of four business analysts and has a strong academic background in finance and mathematics.
Work at Murex
Cherif Ben Mlouka has been employed at Murex since 2011, holding various positions over the years. He started as a Business Analyst in FX Derivatives, where he worked for four years. He then transitioned to the role of Product Manager for FX Derivatives from 2015 to 2019. Since 2019, he has served as the Product Manager for Equity Derivatives. In his current role, he manages a team of four business analysts and is involved in presales demos and workshops.
Education and Expertise
Cherif Ben Mlouka holds multiple Master's degrees in relevant fields. He studied Financial Mathematics at Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble from 2008 to 2011. He also obtained a Master's degree in Finance from Université Pierre Mendès-France (Grenoble II) in 2011. Additionally, he studied Mathematics and Physics at IPEST from 2006 to 2008. His expertise includes analytics and model validation, particularly in local volatility and local stochastic volatility models.
Background
Before joining Murex, Cherif Ben Mlouka completed a research internship in the statistics department at LNE, Laboratoire national de métrologie et d'essais in 2010. This internship lasted three months and took place in the Région de Paris, France. His academic background in mathematics and finance laid the foundation for his career in product management and analysis within the financial technology sector.
Achievements
Throughout his career at Murex, Cherif Ben Mlouka has contributed to various projects in the field of equity and FX derivatives. His involvement in presales demos and workshops highlights his role in client engagement and product presentation. His focus on analytics and model validation has positioned him as a knowledgeable resource in local volatility and local stochastic volatility models, enhancing the capabilities of the products he manages.