Assess the creditworthiness of all banks in your portfolio consistently. 杠杆财务数据为36,000+ banks and 网赌娱乐正规真人(Fitch Ratings) trusted methodology to generate standalone credit scores.
Data & 分析
Leverage timely and reliable data, paired with workflow-friendly analytical tools.
提供更快的, 同样的数据支持更明智的信贷决策, 模型, 以及惠誉评级(网赌娱乐正规真人(Fitch Ratings))分析师使用的方法.
Simplify your use of the CDS market for credit analysis with a methodology that maps 5-year CDS spreads to the long-term ratings scale.
精心策划的新闻服务, 由最新的人工智能和机器学习技术驱动, with sentiment indicators to help you monitor your portfolio and inform credit risk decisions.
Leverage standardized and timely data for banks, insurance, corporates and sovereigns with a 99.95%的准确率，正如惠誉评级分析师所使用的.
得到一个准确的, 对26个国家的信用风险进行标准化评估,000家评级和未评级的银行, including how close banks with the same rating are to the boundaries of the next rating category, 为了更好地做出决策.
标准化 minimum capital requirement data to calculate risk weights for unrated bank exposures using the Basel III 标准化 Credit Risk Assessment Approach.
Data & 帮助您交付更多的工具
保罗·惠特莫尔负责基础数据 & 分析 line of the business, with a strong focus on Credit Risk Solutions. Paul brings over 20 years of experience working with banks and financial institutions in the credit space. 从西伦敦大学毕业后, he started his career with Telekurs in 1994 as a financial data analyst. Paul joined Fitch Solutions in 2015 after a 13-year career with Standard & Poor’s where he held posts both on the ratings side of the business and then the commercial side of the business.
西蒙·华纳(西蒙·华纳)是全球内容运营集团的负责人, the centralised data management and content acquisition organisation in Fitch Solutions. Simone has 30 years of experience leading credit-focused content groups for marquee names in the market data business. Her experience to date includes 19 years with Thomson Reuters in Content Operations and Product Management leadership roles in the credit space, before joining Fitch Solutions in 2009 to bring together various functions into a single specialist content organisation serving Fitch Group.
马克Lindup oversees the Credit 分析 Modelling at Fitch Solutions. The team combines expert knowledge from within the Fitch Group with the latest modelling techniques like machine learning and artificial intelligence to build accurate, 透明和开放的模型. With over 30 years of experience in modelling and software development, 马克于2005年加入惠誉, 作为其收购信用违约互换定价服务的一部分, 他设计的服务, 建立和管理. Mark holds Mathematics with Statistics BSc (Hons) from the University of Portsmouth.
Access the latest fundamental financial data and tools via 正规网赌真人娱乐平台, 一个尖端, multi-channel technology platform offering a choice of delivery channels to ideally match your workflow, 从Web到Excel加载项, 提要, 和API. All fully supported by our expert onboarding and customer success teams.
So, you tell us what you need, and we’ll show you how you can achieve it.
与Risk合作.净, we surveyed credit risk professionals across the globe to discover how the recent pandemic is reshaping their roles. We looked 在 challenges they are facing and what actions they are taking to offset the impact of a burgeoning workload and complex economic picture.
Credit risk analysts not only need high-quality data, but also the necessary tools to manage it. Improving consistency and reducing the risk of errors in credit risk data create more time to concentrate on the core activity of analysis.
Request a consultation and discover how our data and tools can help you do your best work.
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