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End-to-End Data, Models &
Analytics
Portfolio Managers, Traders, and Risk Professionals: Contact us to discuss how RiskSpan’s “Tech + Talent” approach to structured finance can help you streamline processes, manage risk, and translate data into actionable information.
Go further with our cutting-edge platform for data modeling and analytics.
Access talented quants and data scientists to help build, manage, and integrate your data applications.
Use our analytics expertise to help you make better sense of your data.
Request Demo or Trial
See RiskSpan’s Platform in Action
End-to-End Data, Models & Analytics
See RiskSpan’s Edge Platform in Action
End-to-End Data, Models &
Analytics
Portfolio Managers, Traders, and Risk Professionals: Contact us to discuss how RiskSpan’s approach to structured finance, loans and private credit can help you streamline processes, manage risk, and translate data into actionable information.
Ditch the spreadsheets and scale your business with RiskSpan
Save time and money with a single platform for public and private investments
Leverage our data experts to streamline your data pipes and processes
Learn more and talk to an expert
RiskSpan will contact you soon with next steps.
Climate Risk
Innovating Climate Risk Analytics for Mortgage Finance
Our Unique Approach
Property-Specific Analysis for Targeted Results
Leverages Catastrophic Event Models Used to Price Risk Today
Holistic View of Risk that Considers the Overarching Economic Drivers of Mortgage Performance

What We Create
Loan Level Hazard Risk Scoring
Converts Property Loss Simulations into an Easy-to-Use Risk Scoring Framework
Considers location-specific risk
Property attributes and mitigating features (age, roof, construction, etc.)
Flags Loans with risk but uninsured–outside FEMA designated SFHAs
Climate and Natural Hazard Stress Testing
Transparent, Adjustable Set of Mortgage Model Scenarios
Scenarios Covering Specific, Acute Weather Events
Climate Risk Scenarios capturing Chronic Physical Risk and Transition Risk
How it’s Delivered

Loan Score and At-Risk Loan Watch List
Risk Score Analysis for Portfolio Management or Loan Screening

Portfolio Risk Dashboards
Tableau Dashboards to Dig Deeper on Loan Scoring and Climate Stress Testing Results

Financial Disclosure Report & Commentary
Consolidated Reporting to Support Corporate Climate Risk Disclosures

On-Going Portfolio Monitoring and Emerging Event Risk Analysis
Update Analysis as New Loans Acquired, Analyze Hazard Events in Real-Time
Browse our Climate Thought Leadership
Get Started Credit Loss Accounting
End-to-End Data, Models &
Analytics
Portfolio Managers, Traders, and Risk Professionals: Contact us to discuss how RiskSpan’s “Tech + Talent” approach to fixed income can help you streamline processes, measure and manage risk, and translate data into actionable information.
Sharpen asset selection and risk measurement with our cutting-edge platform for data modeling and analytics.
Access talented quants and data scientists to help build, manage, and integrate your data applications.
Use our analytics expertise to help you make better sense of your data.
Paid Search – Agency MBS – Landing Page
EDGE: Agency MBS Prepayment Analytics at Your Fingertips
Boost trading profits and efficiency with EDGE. Drill down into servicer-specific loan- and pool-level data from Fannie, Freddie, and Ginnie in a fraction of the time. Customize queries and create any S-curve, aging curve or time series based on loan-level data.
Run S-curves, aging curves, and time series at loan- or pool-level

Create user-defined, multi-layered queries on more than 40 different fields
Visualize the data with integrated graphing and charting
Export customized charts and graphs to compare trends across servicers and other cohorts.
Programmatically access data via APIs using Edge’s flexible, visual query interface.
Paid Search – Loan Analytics – Landing Page
EDGE: Analytics for U.S. Residential Loans
Boost trading profits and efficiency with EDGE. Upload unformatted loan tapes with smart mapping. Query historical performance of like cohorts. Visualize composition against benchmarks. Generate prices using either your own granular assumptions or RiskSpan’s proprietary prepay and credit models.
Gain Time with Smart Mapping: Upload a loan tape and let EDGE map all the imported field headers and categorical values with amazing precision, applying continuous learning from user activity.

Catch Mispricing by Parsing Historical Performance Differences. Find sub-cohorts with standout performance by comparing histories of custom cohorts.

Find Relative Value by Benchmarking Composition. Compare the composition of a target loan pool against any benchmark

Hone Bids with Granular, Multi-Scenario Forecasting

Data Libraries
Data Libraries
Explore our collection of traditional and alternative datasets
Contact us for access and to learn more

Small Business Almanac
Hourly Wage Earners
Unemployment Claims (Weekly)
COVID-19 Mobility
COVID Cases
Job Markets
Consumer Spending
Economic Indicators And COVID Impact
Restaurant Reservation Index
Market Color
Demographic
Unemployment
Housing Starts
House Price Data
Forbearance
Delinquency
RMBS Private Label Securities (PLS)
Agency MBS Issuers
Agency Credit Risk Transfer (CRT) Deal P...
Agency Single Family Historical Loan Lev...
Agency MBS Loan Level Data
Agency MBS Pool Level Data
Resources
Article

Design Smarter — How AI is Changing UX from Idea to Execution

Models & Markets Update – May 2025

Using LLMs as judges for validating deal cash flow models: A new frontier i...

Mounting Pressure in Non-QM Credit: What March 2025 Data Signals for Risk M...

RiskSpan’s June 2025 Models & Markets Call

RiskSpan’s April 2025 Models & Market Call: Credit Model v7, Prepay Volatil...

RiskSpan Announces the Appointment of Howard Kaplan and Susan Mills to Advi...

From AI Hype to Helpful Assistant: AI Agents are coming soon to the RiskSpa...

Navigating the Bulk MSR Trading Market in 2025: Insights from Industry Expe...

Non-QM Credit Stress by the Numbers: Investor and Full Doc Loan Performance...

Mortgage Prepayment and Credit Trends to Watch

The Future of Private Credit: Growth Challenges, and How RiskSpan is Leadin...
Allowance
Allowance
Allowance and CECL support for every asset class.

A Comprehensive CECL Solution
Designed by CPAs, Statisticians, and Technologists
Our Current Expected Credit Losses (CECL) Module, together with our team of data and modeling consultants, delivers the technology platform and expertise to take you from where you are today to producing audit-ready CECL estimates.
Our consulting team is available to assist pre-implementation in seamless data integration, resolving data gaps, and selecting methodologies.
Our dedicated CECL Module executes your monthly loss reserving and reporting process under the new CECL standard, covering data intake, segmentation, modeling, and report generation within a single platform.
Life-of-Loan Credit Loss Forecasts are in our DNA
Core Competency
Experts in the life-of-loan, econometric credit modeling that CECL requires.
Complete Package
Technology solution backed by experts in data, modeling, and accounting.
Depth of Expertise
In-house statistical modeling team experienced in all asset types.
Scalable Solution
Tailored solutions so you’re not paying for functionality you already have.
A single Solution
Data Assessment
Our credit and data consultants are available to identify and solve data gaps and prepare your data for analysis and modeling. We deliver expertise in:
Data gap analysis and remediation
Database design, to collect and preserve good data
Selecting and integrating representative third-party, proxy data
Analytics & Models
Segmentation analytics, model selection, and a model execution engine that cover every methodology contemplated by the CECL standard.
Segmentation, with intuitive user interface
Monthly model execution, with rapid run-times
Method selection, including in-house models or custom builds
Report Center
Our CECL platform begins with data intake and ends with delivering your monthly ALLL estimates and supporting audit-ready reports, including:
Model diagnostics
Required disclosures
Explanatory board reports
Integrated BI tools for custom analysis
CECL Basics
What is CECL?
CECL is an acronym for Current Expected Credit Losses, and is used as shorthand for the new GAAP standard put forth by the FASB to include expected life-of-loan (LOL) losses in the allowance for credit losses for financial assets that are not accounted for at fair value through net income. It is a change from the current incurred-loss model.
IFRS 9 vs. CECL
IFRS 9 is the International Accounting Standards Board’s (IASB) analog of CECL.
CECL Implementation Dates
For public business entities that are U.S. Securities and Exchange Commission (SEC) filers, the new CECL standard takes effect for fiscal years beginning after December 15, 2019.
For all other entities, the amendments in this Update are effective for fiscal years beginning after December 15, 2020.
Transparency
OCC 2011-12/SR 11-7
All RiskSpan developed models utilized in our module are certified by an independent model governance team and the certification reports are available to the customer.
Back-testing
Additionally, regular back-testing is performed on our models, refinements are made as appropriate, changes are documented, and new versions are released onto the platform. RiskSpan will provide the resources necessary to support the validity of the models when subject to audit or regulatory inquiry.
Resources
Article

Design Smarter — How AI is Changing UX from Idea to Execution

Models & Markets Update – May 2025

Using LLMs as judges for validating deal cash flow models: A new frontier i...

Mounting Pressure in Non-QM Credit: What March 2025 Data Signals for Risk M...

RiskSpan’s June 2025 Models & Markets Call

RiskSpan’s April 2025 Models & Market Call: Credit Model v7, Prepay Volatil...

RiskSpan Announces the Appointment of Howard Kaplan and Susan Mills to Advi...

From AI Hype to Helpful Assistant: AI Agents are coming soon to the RiskSpa...

Navigating the Bulk MSR Trading Market in 2025: Insights from Industry Expe...

Non-QM Credit Stress by the Numbers: Investor and Full Doc Loan Performance...

Mortgage Prepayment and Credit Trends to Watch

The Future of Private Credit: Growth Challenges, and How RiskSpan is Leadin...
How reliable is your data?
Our team of quants and data scientists is available on demand to provide custom support.

Credit Loss Accounting
Credit Loss Accounting
Comprehensive, audit-ready, low-touch credit loss accounting for securities and loans
Rooted in decades of fixed-income analytics for investors at global institutions, Edge delivers audit-ready credit loss accounting for all debt securities, major loan types, and more. It covers:
Loans, held-to-maturity (HTM) debt securities, receivables, and other financial instruments carried at cost under ASC 326-20 (“CECL”)
Available-for-sale (AFS) debt securities under 326-30 and the 320-10 (OTTI) framework
Edge automates the process illustrated below to turn around granular credit loss estimates for large portfolios on tight deadlines, while preserving user discretion and explainability of results:
Many asset classes
with our data and model partners:
ASC 326-20 (“CECL”), 326-30, and 320-10 (“OTTI”)
- Accounting rules engine designed by CPAs and CFOs
- Report package with instrument-level granularity, methodology, and disclosures
Fast turnaround
- On-demand processing in the cloud
- Scalable compute speed
- Easy interface and user support
Audit support
-
Fully documented, SOC 1 and SOC 2 Certified application
- Model support team to explain results and address validator, auditor, and examiner questions
-
Run Settings

Macro scenarios
Credit and call/prepay model selections or overrides
Loans only: Accounting elections
Data Intake

Portfolio by feed or file
Terms, conditions, asset descriptions
Qualitative exclusions
Securities only: AFS impairment screen
Default, Severity, Call/Prepay Rates

Model results or user overrides
Structured securities only: underlying collateral is modeled
Cash Flow Engine

Integration of terms and conditions and default, severity, and call/prepay rates expected cashflows, losses
Accounting Rules Engine

Translation of forecast to book entries per accounting rules
Required disclosures
Day 1 or Day 2 outputs
Loans only: Mgmt. allowance adjustments
Reports

Audit-ready package
Export or feed
SOC 1 and 2 Certified
Resources
How reliable is your data?
Our team of quants and data
scientists is available on demand to provide custom support.
