Thomas Doumenc
About Thomas Doumenc
Thomas Doumenc is a Quantitative Analyst at HSBC in Hong Kong, where he has worked since 2017. He has extensive experience in fixed income and theoretical mathematical finance, having previously held a similar role at HSBC in Paris for nine years.
Work at HSBC
Thomas Doumenc has been employed at HSBC as a Quantitative Analyst since 2017, contributing to the firm's operations in Hong Kong. His role involves applying quantitative methods to analyze financial data and support decision-making processes. Prior to his current position, he worked at HSBC in Paris from 2008 to 2017, where he also served as a Quantitative Analyst for nine years. This extensive experience within HSBC has provided him with a deep understanding of the banking and finance sectors.
Education and Expertise
Thomas Doumenc has a solid educational background in mathematics and physics. He studied at Lycée Louis Le Grand from 1995 to 1997, focusing on Mathematics Physics. He furthered his education at Ecole Normale Supérieure, where he studied Mathematics from 1997 to 2001. Additionally, he attended Conservatoire National des Arts et Métiers, achieving a DESS in Software Safety and Security from 2004 to 2005. His expertise includes Fixed Income with a focus on Rates, Credit, Inflation, and FX, as well as strong skills in theoretical mathematical finance.
Background
Thomas Doumenc's academic journey includes studying at Lycée Francais de Barcelone, which contributed to his foundational knowledge in mathematics. His diverse educational experiences have equipped him with the skills necessary for his career as a Quantitative Analyst. His background in mathematics and software safety has enabled him to navigate complex financial models and contribute effectively to his roles in various financial institutions.
Professional Experience
Before joining HSBC in Hong Kong, Thomas Doumenc accumulated significant experience as a Quantitative Analyst in Paris. His nine years at HSBC in Paris involved working on quantitative analysis and production support, where he demonstrated his ability to implement theoretical concepts in practical scenarios. His career reflects a commitment to advancing his knowledge and skills in quantitative finance, particularly in the areas of Fixed Income and mathematical finance.