https://webcms.chinacsci.com/wp-content/uploads/2018/09/20180102092357773.pdf
关于为腾讯理财通企业贷理财之天金所支信通（联易融） 和融通睿智系列产品提供增信的信息公告 [2017]45 号
关于为腾讯理财通企业贷理财之天金所支信通（联易融） 和融通睿智系列产品提供增信的信息公告 [2017]44 号
中证信用旗下3大科技产品入选“2017年度前海优秀金融创新案例”
为落实前海作为我国金融业对外开放试验示范窗口的战略要求，鼓励区内金融机构主动创新、加大服务实体经济的力度，2017年12月6日，前海蛇口自贸片区在前海举行2017年重大制度创新成果与案例发布会，正式对外发布了23个“2017年度前海优秀金融创新案例”。
中证信用旗下公司有3大科技产品入选：
全国首创大数据驱动的投资者动态数据库及适当性管理系统（中证征信）
行业领先的一站式信用风险管理方案——Credit Master信用风险内评产品（中证征信）
行业领先的大数据债券风险预警平台——it-SaiD它说（鹏元数据）
据悉，这是继去年首次发布21个金融创新案例后，前海再次对外系统性发布金融创新案例。本次案例充分体现了党的十九大和第五次全国金融工作会议关于服务实体经济、防控金融风险、深化金融改革的任务要求，亮点纷呈，更重要的是形成了一批可复制、可推广的改革创新成果，发挥了改革创新的溢出效应。
关于“投资者动态数据库及适当性管理系统”：
《证券期货投资者适当性管理办法》的颁布，对行业规范发展提出更高要求。在深圳证监局的指导下，中证征信首创了以满足《办法》要求为主旨，基于大数据驱动的适当性管理解决方案——包含“投资者适当性动态数据库”、“投资者风险评估指标体系”和“适当性风险监控预警仪表盘”的适当性管理系统。
中证征信于2017年4月与安信证券合作落地了全国首家适当性管理试点项目，通过全面动态评估投资者风险承受能力、实时定位和监控投资者适当性风险等，帮助券商在满足监管机构合规要求的同时，更有效地保护投资者权益。
当前系统已经在试点证券公司上线应用，下一阶段将在证券行业内进行推广。
关于“Credit Master信用风险内评产品”：
该产品是目前市场上领先的提供“专业系统+风险数据库+智能评估模型”的一体化信用风险管理方案的信用风险内评产品，致力于为中国债券市场机构投资者建立以大数据为基础、风险可量化的信用风险工程化评估体系，实现风险的精细化控制，助力于稳定金融债券市场。
截至目前，该产品所服务客户包括国家级金融服务中介机构、全国前三大商业银行资产管理部门和多个大中型券商，覆盖全国银行间和交易所债券市场超过25万亿的信用风险产品管理。
该产品引领和提升了债券市场投资者的信用风险管理能力，促进了债券市场的健康发展。
关于大数据债券风险预警平台“it-SaiD它说”：
该平台是鹏元数据依托中证信用子公司鹏元评级在信用评级与个人征信领域的经验，结合大数据、机器学习、自然语言处理等金融科技技术，打造的国内领先的大数据债券风险预警平台。
其通过外购、爬虫、文本挖掘以及人工采集等手段，收集市场上所有与债券主体相关的数据，经过科学的分析整合，建立数据分析模型，对市场上所有的发债主体进行动态风险预警。
该平台为证券、基金公司、银行等债券投资者和政府监管机构提供综合风险管理服务，对防范和化解金融风险有重要意义。
颁奖现场
入选的3大优秀案例奖牌
23个案例入选优秀金融创新案例
来源：深圳特区报 2017年12月07日 版次：A10
深圳特区报讯（记者 张智伟）2017年重大制度创新成果与案例发布会系统发布了前海23个优秀金融创新案例。这是继去年首次发布21个金融创新案例之后，前海再次对外系统性发布金融创新案例。
6日上午，中国（广东）自由贸易试验区深圳前海蛇口片区2017年重大制度创新成果与案例发布会在前海企业公馆特区馆举行。发布会现场，业界人士认真听会。
从申报行业来看，23个优秀案例中，银行业10个，证券业3个，保险业1个，金控公司1个，要素平台2个，征信公司2个，小额贷款1个，其他类3个
从创新类型来看，23个优秀案例中，产品（服务）创新11个，模式创新9个，技术创新3个。显示在国家的统一战略部署下，市场主体自主创新不断涌现，国家政策支持引导的效果日益显现。
在服务实体经济方面，深圳市诚正科技小额贷款公司专注为科技型中小微企业提供纯信用贷款，着力打造科技小贷业务新模式；海航期货借鉴国外农业保障体系的先进经验，联合保险公司在全国率先进行“期货+保险”项目试点；众惠财产相互保险社托管慈溪农村保险互助组织，为基层农村相互保险组织插上了专业化的翅膀。
在防控风险方面，前海金融控股有限公司开发了国内首个私募基金信息监管服务平台-深圳私募基金信息服务平台；中证征信（深圳）有限公司首创了基于大数据驱动的适当性管理解决方案。
在深化金融改革开放方面，前海金融资产交易所落地全国首单依托交易平台进行的不良资产跨境交易业务；招商银行在跨境支付与结算领域实施直联支付区块链项目，成功在前海落地全国首单区块链跨境支付业务。
通过这些案例，充分发挥前海先行先试的政策优势，鼓励金融机构加大创新力度，推进供给侧结构性改革，增强金融服务实体经济水平。并形成了一批可复制、可推广的改革创新成果，发挥了改革创新的溢出效应。
链接：http://sztqb.sznews.com/MB/content/201712/07/c249519.html
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.
