Recent years have witnessed an explosion in the amount of financial data. Novel FinTech technologies, such as artificial intelligence and data mining, nurture an increasing number of financial products, services, and opportunities. Several complex problems, such as investment decision making, macroeconomic analysis, asset credit evaluation etc., widely exist in the field of finance. FinTech is used in many financial companies which is making significant impact in the financial services. With the increasing complexity of financial transaction processes, FinTech can reduce operational costs through process automation which can automate repetitive tasks and increase productivity. Among others, FinTech can analysis large volumes of historical data and make better trading decisions to increase revenue.

Despite the recent growing interest in FinTech, there are still many problems in this field that have not been resolved. The more efficient integrated system which can integrate various activities in the finance transaction process is urgently needed. With financial data becomes diverse and huge, the more intelligent algorithms should have the ability to find the pattern in multimodal data. Besides, security is the most fundamental issue in finance. FinTech can play an important role in detecting frauds.

After witnessing several promising achievements of FinTech, DMBD 2022 proposes the special track of FinTech. This track aims to collect a wide range of articles from both data mining and its application to finance, it encourages original research papers of high quality that focus on novel ways of using AI techniques to solve the finance problems.