![Nicole Streuli-Fürst](https://cdn.zonebourse.com/static/resize/768/576//static/images/insiders/unknown.png)
Profiel
Ms. Nicole Streuli-Fürst is an Executive Vice President of Operations & Research at RepRisk AG.
She is the co-founder and the Executive Vice President of Operations and Research.
Having joined RepRisk in 2007, Nicole directs the global analyst team and leads under the Research umbrella three departments: ESG Research, Research Technology, and Business Information Research.
She is also responsible for the development of RepRisk's global operations with its subsidiaries’ offices in Berlin, Manila, New York, and Toronto.
She formerly worked for the Plant Science Center of the Swiss Federal Institute of Technology (ETH) in Zurich, Switzerland.
Nicole holds a Master’s degree in Environmental Sciences from the Leuphana University of Lüneburg in Germany and a Certificate of Advanced Study in Social Management and Social Responsibility from the Zurich University of Applied Sciences in Switzerland.
She is currently pursuing an Executive Master’s in Business Engineering (EMBE) from the University of St. Gallen, in Switzerland.
Actieve functies van Nicole Streuli-Fürst
Bedrijven | Functie | Begin |
---|---|---|
RepRisk AG
![]() RepRisk AG Investment ManagersFinance RepRisk AG is an independent research firm headquartered in Zurich, Switzerland. The firm was founded in 1998 and provides ESG research in 20 major business languages that can be used for rigorous back-testing and quantitative analysis. | Directeur van Onderzoek - Eigen Vermogen | 01-01-2007 |
Ervaring
Beklede functies
Actief
Inactief
Beursgenoteerde bedrijven
Bedrijven in privébezit
Connecties
Eerstegraads connecties
Bedrijven verbonden in de eerste graad
Man
Vrouw
Besturend
Uitvoerend
Verwante bedrijven
Bedrijven in privébezit | 1 |
---|---|
RepRisk AG
![]() RepRisk AG Investment ManagersFinance RepRisk AG is an independent research firm headquartered in Zurich, Switzerland. The firm was founded in 1998 and provides ESG research in 20 major business languages that can be used for rigorous back-testing and quantitative analysis. | Finance |