David Jaggi

David Jaggi
ZHAW
School of Management and Law
Fachstelle für Asset Management
Gertrudstrasse 8
8400 Winterthur
Persönliches Profil
Tätigkeit an der ZHAW
www.zhaw.ch/en/sml/institutes-centres/iwa/
Arbeits- und Forschungsschwerpunkte, Spezialkenntnisse
Asset Management, Risk Management, Machine Learning, Data Science, R, Python, SQL
Aus- und Fortbildung
2017-2018 MSc Investment and Finance, Queen Mary University of London
2014-2017 BSc Engineering and Management (Business Mathematics), ZHAW
Beruflicher Werdegang
2019-2020 Data Scientist in Trade & Behavioral Analytics, Credit Suisse
2018-2019 Data Analyst in Operational Analytics, Credit Suisse
Projekte
- Investor and Stakeholder Tools for Tracking Companies’ Climate Commitments, Greenwashing and ESG Trends / Stellv. ProjektleiterIn / Projekt laufend
- Prognostisches Scoring von Innovationen in Green-Tech-Patentclustern mittels Natural Language Processing / Teammitglied / Projekt abgeschlossen
- Strengthening Swiss Financial SMEs through Applicable Reinforcement Learning / Teammitglied / Projekt abgeschlossen
Publikationen
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Hadji Misheva, Branka; Jaggi, David; Posth, Jan-Alexander; Gramespacher, Thomas; Osterrieder, Joerg,
2021.
Audience-dependent explanations for AI-based risk management tools : a survey.
Frontiers in Artificial Intelligence.
4(794996).
Verfügbar unter: https://doi.org/10.3389/frai.2021.794996
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Jaggi, David,
2022.
Big data for assessing corporate green innovation.
In:
SSF/ZHAW Novel Data Solutions: Big Data and AI for Sustainable Investing - from Biodiversity Risks to Sustainable Gold, Zurich, Switzerland, 2 November 2022.
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Posth, Jan-Alexander; Auth, Christoph; De Meer Pardo, Fernando; Dascalu, Florin; Jaggi, David; Grob, Linus,
2022.
Reinforcement learning in finance.
In:
ZKB Event, Zürich, Schweiz, 7.April 2022.