Creator
Dr.Florian Kollberg
Florian Kollberg teaches how AI is governed inside regulated finance: model risk, process risk, and the evidence a supervisor expects to see. He holds a doctorate and has taught at HfWU Nürtingen-Geislingen since 2023. His practice covers corporate finance, M&A and many years in banking, with the buy-side habit of testing a valuation before believing it, and it extends into financial regulation, including FINMA requirements, and corporate governance with an ESG focus. In a large international automotive group he runs sustainability supply chain work with governance, risk and regulatory scope, where enterprise risk and ESG reporting meet an operating process.
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- Stuttgart, Germany
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Background
Experience and context
Education and professional work that shape this creator's modules.
About
- Where his teaching lands
Learners in banking, insurance and regulated industry who have to explain an AI system to a supervisor, an internal audit function or a board.
Education
- Doctorate (Dr.)
Promoviert (Dr.).
Industry
- Enterprise risk and ESG supply chain in a large industrial group
Covers process scaling and internal governance at the scale where a control has to work across many sites.
Career
- Lecturer, HfWU Nürtingen-Geislingen (since 2023)
Teaches alongside his professional practice at the Nürtingen-Geislingen University of Economics and Environment.
- Many years in banking
Langjährige Banking-Erfahrung.
- Corporate finance and M&A practice
- Buy-side analyst perspective on valuation
Assesses a business the way an investor deciding whether to commit capital does.
- Project Manager, Sustainability Supply Chain, large international automotive group
Governance, risk and regulatory scope across a supply chain that reports under sustainability rules.
Regulatory
- Risk management, regulation and corporate governance with an ESG focus
- Swiss financial regulation, including FINMA requirements
FINMA-Expertise.
- Model risk, process risk and governance evidence
Works the control perspective a regulated organisation has to hold: where a model can fail, where a process can fail, and what evidence proves the control was in place.
- AI in valuation, risk and governance processes
Brings the investment, banking and M&A view to the question of how an AI system is placed inside a process that already carries a control obligation.