Application of Particle Swarm Optimization Algorithm in Statistical Analysis of Financial Sharing System

As the scale of larger enterprises continues to expand, the financial management work of various subsidiaries has also increased, which has brought certain benefits to the company, but there have also been some problems. These problems have had a great impact on the company’s development and development. The paper first designs the structure of the shared financial system, analyzes its business requirements, and puts forward corresponding functional requirements on this basis. In view of the needs of the system, the thesis focuses on the design and implementation of various subsystems such as financial management, quality management, and work subsystems. Through analysis, it is concluded that organizational structure reform is the main financial management framework, financial management control is the system guarantee, PSO-based financial cloud technology support is the implementation tool, and financial business process optimization is the principle, and performance appraisal is used as a way of reward and punishment, and a financial sharing system is gradually established.