FinDS2: A Novel Data Synthesis System for Fintech Product Risks

This paper starts from the application scenarios and pain points in the financial industry, focusing on the synthesis of financial technology (Fintech) product risk data. By integrating existing research in the field of data synthesis, we propose a novel Fintech Data Synthesis System (FinDS2). To implement this system, we have designed and developed a data synthesis product that leverages cloud computing and micro-services. The product includes a cloud-native data lake, an intelligent algorithm engine, and a SAAS tool engine. It collects data on regulatory rules and penalties in the finance industry and offers highly configurable and automated features. By tailoring the synthesis process to Fintech application scenarios, our proposed FinDS2 generates high-quality synthetic data efficiently. Through practical validation, we demonstrate that the synthesized data closely resembles the original data, effectively meeting the data synthesis needs for managing Fintech product risk.