An investigation of transaction-level P2P Lending in Germany and the EU

Project description

The proposed investigation seeks to advance understanding of the impact of Fintech on economic inclusivity and growth within the context of Europe’s evolving digital transformation. Through its assessment of new technologies and regulations, the project seeks to identify actionable insights to guide global policy and industry standards on Fintech lending (and P2P lending most particularly). The application of machine learning and Big Data techniques will enable assessment of the antecedent institutional, disclosure, governance, and micro-level factors necessary for P2P funding success in the German and/or EU market context. The successful applicant must have strong quantitative, statistical, and analytical skills. Demonstrated knowledge of Python and Machine Learning techniques will be an advantage.

International collaborator(s)

The collaboration is with the Faculty of Business Administration at the University of Mannheim, Germany. The successful applicant will be expected to spend time at the University of Mannheim conducting field and empirical work in relation to the collection and analysis of P2P lending data relevant to the German and EU market context. One or more University of Mannheim faculty members will assist through the provision of advice, access to office space, and IT Facilities. The successful candidate will have the opportunity to liaise with major fintech hubs/clusters and related research centres within the Rhine-Neckar region of Germany.