Asian Journal of Mathematics and Computer Research

The evolution of serverless architectures has revolutionized how FinTech solutions are developed and deployed, offering a new paradigm for achieving scalability, cost-efficiency, and streamlined operations. Serverless computing, characterized by its event-driven model and pay-as-you-go billing, eliminates the need for managing the underlying infrastructure, allowing developers to focus solely on building and improving application functionality. This paper investigates the transformative impact of serverless technologies on the FinTech sector, highlighting their role in enhancing transaction processing, scalability, and operational efficiency. Key technologies such as AWS Lambda, Azure Functions, and Google Cloud Functions are analyzed for their specific contributions to the financial domain. These services enable FinTech applications to handle high transaction volumes dynamically while maintaining minimal latency and robust fault tolerance. Features like automatic scaling and integration with other cloud services make serverless platforms suited for real-time financial operations such as payment processing, fraud detection, and portfolio management. However, despite their numerous advantages, serverless architectures present unique challenges, including cold start latency, limited execution time, and compliance with industry standards like PCI DSS and GDPR. Strategies for overcoming these challenges are discussed, alongside best practices for optimizing serverless workflows. Real-world case studies demonstrate the successful implementation of serverless architectures in FinTech, showcasing significant improvements in performance metrics such as uptime, transaction throughput, and cost-effectiveness. The paper concludes with future perspectives on how serverless computing, combined with emerging technologies like artificial intelligence and blockchain, will continue to shape the FinTech landscape.