Customer demographics, fintech entry and the structure of financial intermediation
Matteo Benetton, Professor
Business, Haas School
Applications for Spring 2025 are closed for this project.
The project is part of a large agenda trying to understand how banks compete in an evolving environment affected by changing demographics and the entry non fintech lenders and bigtech firms. One project is studying the heterogeneous preferences of borrowers and savers to explain the lengthening of the financial intermediation chain. Another project is looking into the business credit card market to understand their impact on small businesses during the Covid-19 Pandemic.
Role: The main tasks will be: 1) scrape a large amount of data on credit card offers; (2) merge different data sources; (3) create summary statistics tables and run some statistical analysis to study the impact of customer demographics on competition between traditional banks and fintech lenders.
Qualifications: Qualifications: Data scraping / analysis using Stata, Matlab, R, or Python. Interest in Finance and Fintech a plus.
Hours: to be negotiated
Off-Campus Research Site: On campus but flexible working from home is allowed.
Digital Humanities and Data Science Social Sciences