FinTech Ecosystems and Open Finance: Startups, Incumbents and New Business Models in Digital Financial Services - 2026_CDR_DIG_1

Position: Post-doctoral research contract Institute: Polytechnic of Milano
Posted on: 16/03/2026 Deadline: 15/04/2026

Scientific-Disciplinary Group

09/IEGE-01 - Business And Management Engineering

Description

The program analyzes the evolution of the FinTech, Insurtech and Open Finance ecosystem, with attention to the dynamics between startups, incumbent operators, and emerging platform-based market architectures. The objective is to examine how emerging models such as aaS, embedded finance, modular infrastructures are reshaping the financial services value chain. In particular, the project will focus on: the structure and evolution of fintech ecosystems, including the analysis of relationships among startups, incumbents, and big tech firms; platform-based and BaaS business models, with an assessment of their economic sustainability and performance metrics; collaborative strategies (partnerships, open innovation, VC models, and M&A) between traditional operators and new entrants; the organizational and technological impacts on financial intermediariries, including those related to climate change; the evolution of the end users

Job posting website

https://www.polimi.it/en/bandi-per-contratti-di-ricerca

Number of positions

2

Funding body

Politecnico di Milano

How to apply

https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079

Selection process

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In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it/en/bandi-per-contratti-di-ricerca quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to 10 points) relevance and significance of previous research activities and professional experience in relation to the research program (up to 10 points) relevance of submitted publications with respect to the research program (up to 10 points) interview, aimed at assessing the candidate’s research aptitude, their ability to implement the proposed project, and their knowledge of English and/or other relevant languages for the research (up to 70 points)

View the original posting on the MUR website: Go to MUR website

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