The Women in Fintech Datathon is a data mining event (data analysis) organized by the Women in Fintech Conference Committee represented by several researchers of the Cost Action FinAI CA19130, University of Tirana and University of Naples Federico II. The Datathon aims to promote the analysis of data on the goals of the Women in Fintech II Conference, and more general in the field of the FinAI Action. Among the main topics to be developed by means of (open access and real) data analysis: Gender diversity in Fintech corporate world, Fintech gender diversity in different EU countries, Gender pay gap in Fintech roles. A competition like Datathon is a great way to attract attention of students and young researchers in early stages of their career on the Action goals. Having students compete against one another can motivate them to work harder to achieve their tasks. Datathon can also be a great chance to meet prominent employers who are ordinarily hard to reach. Traditional recruitment procedures can be time-consuming, and many excellent students fall through the gaps and never get the opportunity to work for their ideal companies. Traditional application requirements are primarily centered on academic achievement, which may or may not reflect their genuine abilities and capabilities. Finally, student competitions allow them to put their ideas to the test to discover if they are viable in a risk-free setting where they may get feedback from peers and professionals.