RS Edge

RS Edge is a data and analytics platform developed by RiskSpan for professionals in the structured finance industry. According to the vendor, it offers advanced technology to integrate data, models, and analytics on a high-speed infrastructure. The platform is designed to cater to the needs of mortgage investors, originators, servicers, and other professionals.

Key Features

Cloud-native solution: According to the vendor, RS Edge provides users with scalable and efficient access to loan and structured finance data and analytics. It offers normalized loan-level data, securities data, and real-time market data. Users can analyze historical performance, run analytics, and leverage the SMART ETL tool for loan collateral analysis.

Integrated data and models: RS Edge seamlessly integrates data and models, enabling users to price assets, trade, and manage risk for a wide range of asset types. It features a high-speed distributed cloud-native architecture, advanced compute technology, and a data aggregation engine with next-generation validation technology.

Loan analytics: RS Edge offers efficient onboarding of data, management of asset performance, and accurate pricing of whole-loan portfolios. Users can evaluate loan assets based on various attributes, create user-defined cohorts for analysis, and visualize loan performance trends using customizable charts and graphs.

Mortgage servicing rights (MSRs): The vendor claims that RS Edge provides true loan-level analytics for MSR pricing. It offers insights into the cost of servicing portfolios in terms of collections, loss mitigation, and claims expenses.

Risk analytics: RS Edge offers fully-managed market risk solutions across all asset classes, specializing in mortgages and structured products. According to the vendor, users can access a range of risk metrics, including sensitivities, exposure, duration, regulatory compliance reports, stress tests, value at risk (VaR), and factor models.

Climate risk analytics: RS Edge provides innovative climate risk analytics for mortgage finance, including property-specific analysis, loan-level hazard risk scoring, climate and natural hazard stress testing, and on-going portfolio monitoring.

Data libraries: According to the vendor, RS Edge offers a comprehensive collection of traditional and alternative datasets, including mortgage data, housing data, economics data, US demographics, pricing and market data, and alternative data. Users can leverage these datasets for analysis and decision-making.

Custom support from quants and data scientists: The vendor claims that RS Edge provides on-demand custom support from a team of quants and data scientists. They offer expertise and assistance in handling data-related challenges, ensuring reliable and accurate data tailored to the unique needs of each client.

Data Solutions: RS Edge aims to ensure accuracy, accessibility, and readiness for data analysis. It offers data pipelines, framework engineering, and data quality assurance to streamline the data lifecycle and reduce costs.

Data Science and ML Services: According to the vendor, RS Edge leverages a team of expert data scientists and ML engineers to unlock the full potential of data. They customize data science solutions, provide data pipelines and framework engineering, and offer data quality assurance strategies tailored to specific needs and challenges.