The three major technology products of China Securities Credit Investment were selected as “2017 Qianhai Excellent Financial Innovation Case”

In order to implement the strategic requirements of Qianhai as a demonstration window for China’s financial industry opening to the outside world, and encourage regional financial institutions to actively innovate and intensify the service of the material economy. On December 6, 2017, “2017 Major Innovative Achievements and Case” conference was held in Qianhai Shekou Free Trade Zone, and officially released 23 “2017 Qianhai Excellent Financial Innovation Cases”.

China Securities Credit Investment’s three major technology products were selected:

The nation’s first big data-driven investor dynamic database and appropriateness management system (CSCS)

Industry-leading one-stop credit risk management program – CreditMaster credit risk internal evaluation product (CSCS)

Industry-leading big data bond risk warning platform – it-SaiD(Peng Yuan data)

It is reported that this was the second time Qianhai systematically released financial innovation cases after the first release of 21 financial innovation cases last year. This case fully embodies the requirements of the Party’s 19th National Congress and the 5th National Financial Work Conference on serving the real economy, preventing and controlling financial risks, and deepening financial reforms. The highlights are diverse, and more importantly, a batch of replicable and promotable of reform and innovation results have been exerted the spillover effect of reform and innovation.

About “Investor Dynamic Database and Appropriateness Management System”

The promulgation of the “Measures for the Appropriateness of Securities and Futures Investors” raises higher requirements for the development of industry norms. Under the guidance of the Shenzhen Securities Regulatory Bureau, China Securities Credit Investment has pioneered an appropriateness management solution based on big data driven to meet the requirements of “the Measures” – including “Investor Appropriateness Dynamic Database” and “Investor Risk Assessment Index System” and“Appropriateness Risk Monitoring and Warning Dashboard.

In April 2017, China Securities Credit Investment cooperated with Essence Securities to launch the nation’s first Appropriateness Management Pilot Project to help brokers meet the regulatory requirements through comprehensive and dynamic assessment of investor risk tolerance, real-time positioning and monitoring of investor appropriateness risks, as well as to protect investors’ rights and interests more effectively.

The system has currently been applied to pilot securities companies, and will be promoted in the securities industry on the next phase.

About “CreditMaster Credit Risk Internal Evaluation Products”:

This product is the leading credit risk internal evaluation product of the integrated credit risk management program that provides the “professional system + risk database + intelligent evaluation model” on the market. It is committed to build big data based, risk-quantitative credit risk engineering assessment system for institutional investors in the Chinese bond market, to achieve refined control of risk and to help stabilize the financial bond market.

Up to now, the products has served national financial service intermediaries, the country’s top three commercial banks asset management departments, a number of large and medium-sized brokerages, covered more than 25 trillion credit risk product management in the national interbank and exchange bond markets. .

This product has led and enhanced the credit risk management capabilities of bond market investors and promoted the healthy development of the bond market.

About the big data bond risk warning platform “it-SaiD it says”:

The platform is the leading domestic big data bond risk early warning platform built by Pengyuan Data relying on the experience of CSCI Subsidiary Pengyuan Rating in the field of credit rating and personal credit information, combined with financial technology such as big data, machine learning and natural language processing.

Through the methods of outsourcing, crawling, text mining and manual collection, it collects all the data related to the bond body in the market. After scientific analysis and integration, it establishes a data analysis model and conducts dynamic risk warning for all the debt issue entities in the market.

The platform provides comprehensive risk management services for bond investors and government regulatory agencies such as securities companies, fund companies and banks. It has great significance in preventing and defusing financial risks.

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