Chartis Research Names RiskSpan a Category Leader for Fixed-Income Securitization Technology –RiskTech Quadrant® 2019
Developed, secured, and deployed on IBM Cloud and AWS:
Access loan and securities data, models, and predictive analytics on one, scalable, cloud-native platform.
Make Data-Driven Decisions
Get More Out of Loan and Securities Data
Scalable Platform
Scalable platform streamlines loan data management by fusing datasets.
Tailored Solutions
Tailored solutions to help you achieve new heights of analysis and reporting.
Loan Data Experts
Market experts in loan data management and predictive modeling.
Business Innovators
Cut costs, minimize processing time, and increase returns on your investments.
See a sample of the loan data we process and manage on a daily basis. Check out these loan servicer benchmarks.
See a sample of the dynamic risk reports we process for portfolio managers. Check out VaR, curve risk, interest rate risk, benchmark correlations, and historical shock scenarios.
Solve your hardest data, modeling, and analytics problems with our specialized team of data scientists, quants, and technologists.
Predictive
Analytics
Make informed data-driven decisions with
powerful forecasts and predictive loan analytics and securities analytics.
- In-house, proprietary credit, prepayment, default, and risk models
- Cutting edge programs and technologies, including Python cash flow modeling and machine learning
- Solutions for whole loan analysis, current expected credit losses, and credit risk transfer portfolios
Data
Management
Knock down silos – enable access, movement, and blending of source data for downstream loan analytics and securities analytics.
- Big data processing tools for massive data set intake and transformation
- Applied machine learning techniques to guess at missing data
- Latest methods and applications for transport to front-end business intelligence
Model and Data
Governance
Get the most out of your model risk management and data governance programs.
- Pragmatic model validation solutions, including full- and limited-scope validations
- Exhaustive suite of supported models, with proprietary and machine learning models for benchmarking
- End-to-end data governance and traceability