Aymeric Steinitz
About Aymeric Steinitz
Aymeric Steinitz is a data analyst with over 13 years of experience in corporate and investment banking. He currently works at Contovista AG in Schlieren, Zurich, and has previously held various roles at BNP Paribas in Switzerland.
Work at Contovista
Aymeric Steinitz has been employed at Contovista AG as a Data Analyst since 2021. His role involves analyzing data to support the company's objectives in the financial technology sector. Based in Schlieren, Zurich, he contributes to projects that enhance data-driven decision-making processes within the organization.
Previous Experience in Data Science
Before joining Contovista, Aymeric Steinitz worked as a freelance Data Scientist from 2019 to 2021 in the Zürich Area. He also held a position at Propulsion Academy Zürich as a Data Scientist for a brief period in 2018. His freelance work and educational background in data science have equipped him with practical skills in Natural Language Processing and Deep Learning.
Experience at BNP Paribas
Aymeric Steinitz has extensive experience at BNP Paribas in Switzerland, where he worked for seven years in various roles. He served as Chief of Staff in Corporate Coverage from 2011 to 2018, and as Business Lead for WAI Boost from 2016 to 2018. His earlier role included being a Global Relationship Manager from 2015 to 2018 and an Analyste crédit from 2006 to 2011.
Education and Expertise
Aymeric Steinitz earned a Master of Science in Finance from EDHEC Business School, studying from 2001 to 2004. He also completed a Data Science Immersive program at Propulsion Academy Zürich from 2018 to 2019. His educational background and expertise in Python programming contribute to his proficiency in data analysis and machine learning.
Background in Corporate and Investment Banking
With over 13 years of experience in Corporate and Investment Banking, Aymeric Steinitz has developed a strong foundation in financial services. His roles at BNP Paribas involved managing corporate relationships and providing analytical support, which has informed his current work in data analytics.