Quentin Bruley Des Varannes
About Quentin Bruley Des Varannes
Quentin Bruley Des Varannes is a Data Analyst with a strong educational background in Economics, Finance, and Data Science. He has held various positions in risk management and analysis across several financial institutions, including BNP Paribas and Streetbees.
Work at Streetbees
Quentin Bruley Des Varannes has been employed at Streetbees as a Data Analyst since 2021. In this role, he utilizes his analytical skills to interpret data and provide insights that inform business decisions. His work contributes to the company's mission of gathering and analyzing consumer data to enhance understanding of market trends.
Education and Expertise
Quentin Bruley Des Varannes holds a Bachelor's degree in Economics and Financial Engineering from Université Paris Dauphine, which he completed in 2014. He furthered his education with a Master's degree in Economics from the same institution in 2017. Additionally, he studied Data Science at Le Wagon in 2020, enhancing his technical skills in data analysis and machine learning.
Professional Background
Quentin Bruley Des Varannes has a diverse professional background in finance and data analysis. He began his career as an Assistant Account Manager at Société Générale in 2013. He then worked in various roles, including as a Temporary Assistant in Risk Management at Servier, a Credit Analyst at BNP Paribas, and a Junior Risk Underwriter at Euler Hermes. His experience also includes a position as a Research Analyst at La Fabrique de l'industrie.
Previous Roles at BNP Paribas
During his tenure at BNP Paribas, Quentin held two significant positions. He served as a Credit Risk Analyst from 2015 to 2016, focusing on assessing credit risks. Subsequently, he worked as a Credit Analyst for Financial Institutions and Sovereigns from 2017 to 2019, where he analyzed financial data to support lending decisions.
Teaching Experience at Le Wagon
Quentin Bruley Des Varannes worked as a Teaching Assistant in Data Science and Machine Learning at Le Wagon from 2020 to 2021. In this role, he supported students in understanding complex data concepts and techniques, contributing to their learning experience in the field of data science.