The invention discloses a financial anti-fraud analysis method based on big data, and the method comprises the following steps of collecting the related data generated by a buyer and a seller using amobile device, and preliminarily judging the identities of the buyer and the seller. According to the financial anti-fraud analysis method based on big data, firstly, the personnel information of twotransaction parties is verified in the whole process, so that the information accuracy in the transaction process is ensured, the relation network and the characteristic attributes among the data areanalyzed, and the risk can be deeply mined and analyzed; secondly, the personnel of two transaction parties can most intuitively know the current overall safety condition of the financial product; andby introducing the query event history to analyze the event analysis, the accuracy of financial anti-fraud analysis is improved, and the safety degree of funds of two transaction parties is improved;Finally, the unique voice, fingerprints, faces and pupils are adopted as the basis for identifying user identities, the uniqueness is realized, the situation of copying does not exist, the safety ofthe user identities is improved, and a better use prospect is brought.