The “big data revolution” has quietly come，and the traditional financial industry is facing great opportunities and challenges of transformation.This report discusses the frontier application of big data in the financial field and its impact on the traditional financial system from three aspects.First of all，data visualization analysis can directly and effectively display unstructured data.At present，it is widely used in the analysis of concentration degree，correlation degree and imbalance degree accumulated over time of systematic risk.Second，the rapid development of the universal home mortgage identification code system in the United States is conducive to improving regulatory efficiency，promoting policy research and protecting individual privacy.Finally，the FIBO model based on semantic web technology is an important technical paradigm to reduce data management cost and improve risk analysis ability.Its logical reasoning，semantic query and automatic categorization can improve the effectiveness of systematic financial risk monitoring.Of course，the big data method still has many deficiencies and needs to be further improved.