David Jaggi

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

• 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

• 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.

• 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.

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