Global Ethical Practices in Financial Technology (Fintech): A Comparative Case Study of Paytm, Razorpay, Stripe, and Nubank

Abstract The research paper proposes a relative exploration of the ethical and practicality of how guidelines, principles, and administration are planned to make decisions ethically at the levels of regional and corporate among the lending companies. Though the Fintech companies have disrupted the old financial services through inventions by bringing in modernised concepts of Artificial Intelligence, Big Data, and online payments, they face considerable difficulties in maintaining ethical issues like privacy in data, prejudices in algorithms, handling grievances, and access to digital financial services. The study discovers, through a comparative qualitative case study that focuses on the navigation of the issues related to ethics in the context of social and regulatory frameworks, emphasising the effect of governance on the practices of ethics. Under the defiance of the European Union’s GDPR (General Data Protection Regulation), Stripe displays accountability in maintaining transparency in data by complying with the regulatory frameworks of ethics. In India’s hastily developing regulatory framework, Paytm and Razorpay face difficulties in the localization of the data, developing trust in the public, and prejudices in AI algorithms. Nu Bank focuses on the Fintech model associated with Brazilian values based on social and equity, emphasising the prominence of culture and ethical judgement. The four firms, despite regional differences, display a collective ethical inadequacy, focusing on maintaining transparency in AI, handling grievances, and governance. The findings highlight the rising prominence of branding ethically and earning trust from stakeholders for enhancing resilience in the financial technology sector. Further, it focuses on building consistent but ethical guidelines in regions that provide financial technology firms to function responsibly in the presence of socio-legal circumstances that can be adopted. The research lays a basis for determining policy regulations for the future, approaches of corporate governance, and novelties focused on the welfare of consumers by implementing the theory of stakeholder and ethical AI environments. The conclusion of the paper is based on the suggestions from supervisors, companies, consumers, and collaborators who would develop an environment for ethical financial technology. The research in the future should focus on measurable reforms of ethics, how it can be an influencer for gaining trust from users, and should also examine the audits of AI-driven technologies to improve financial technology practices.