Research On The Digital Transformation Of Prime Brokerage Based On RPA

Under the background of digital economy,digital technologies represented by big data,cloud computing,artificial intelligence,and blockchain have been integrated with the brokerage business,and the traditional financial services of securities companies have ushered in subversive changes,and the business boundaries have been greatly expanded.Promoting the digital transformation of securities companies with financial technology is the trend of the times,while guiding the high-quality development of China’s securities companies,it also provides better financial service guarantees for the stable operation of the real economy,which is in line with the strategic deployment of the "digital economy" proposed by the state.The main broker business,which serves professional institutional investors and high-net-worth individual customers,meets the transformation needs of brokerage business and has become the "business blue ocean" of securities companies.The prime broker business,which emerged in 2010,has provided institutional customers with more efficient and convenient diversified services with the help of new digital systems such as intelligent investment research,intelligent investment advisory and quantitative trading spawned by financial technology,and promoted the digitalization process of the business.With the in-depth development of business,more and more system modules,inconsistencies in the underlying architecture of internal and external systems,data security,information islands and the fading of "demographic dividends",the growing demand for prime broker business will inevitably force the elimination of labor-intensive traditional business models.Therefore,the way to ensure that the prime broker’s business continues to reduce costs and increase efficiency,enhance business competitiveness,and promote digital transformation has become the focus of attention of major securities companies.With the current RPA technology,which has attracted much attention,securities companies can solve the problems faced by prime brokers in the process of digital transformation,such as the limitation of system service objects,the lack of system isolation and integrity,the low degree of business automation,and data security risks.This paper selects A Securities Company as the research object,takes the valuation accounting and information disclosure business in the main broker business as the starting point,draws the business schematic diagram respectively,and conducts a detailed analysis of the current situation of the business,which leads to the problems that restrict the efficient development of the business.Then,RPA is applied to the actual business,the new business diagram is redrawn,and the Petri network is used for modeling and quantitative analysis to deduce the feasibility of RPA and how to solve the problems in the digital transformation of the prime broker’s business.Through the research authors,RPA not only plays an indispensable role in the construction of digital information systems and the organic combination of multiple digital information systems,but also plays a vital role in reshaping business service models,improving operational efficiency,leading high-quality business development,and realizing business digital transformation.Therefore,the author hopes to widely apply the model and experience of realizing the digital transformation of the prime broker’s business with RPA to various business fields of the brokerage firm and provide them with a case basis for reference.