Multilingual Financial Fraud Detection Using Machine Learning and Transformer Models: A Bangla-English Study

ArXi:2603.11358v1 Announce Type: new Financial fraud detection has emerged as a critical research challenge amid the rapid expansion of digital financial platforms. Although machine learning approaches have nstrated strong performance in identifying fraudulent activities, most existing research focuses exclusively on English-language data, limiting applicability to multilingual contexts. Bangla (Bengali), despite being spoken by over 250M people, remains largely unexplored in this domain.