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![RiskSpan Expands Private Credit Solution to Include Residential Transition Loans](https://riskspan.com/wp-content/uploads/2024/07/PR-Hero-1024x576.png)
RiskSpan Expands Private Credit Solution to Include Residential Transition ...
Arlington, VA – July 18, 2024 – RiskSpan, a leading technology provider of innovative risk management and data analytics for securities, loans and private credit,
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AI Prompt Structuring — Does it Even Matter?
At the mesh point of human ingenuity and artificial intelligence, the importance of appropriately structured prompts is frequently underestimated. Within this dynamic (and, at times,
![MSR Tape to Bid in 6 Easy Steps](https://riskspan.com/wp-content/uploads/2024/07/storylane-screenshot-1024x549.png)
MSR Tape to Bid in 6 Easy Steps
Creating an MSR bid using RiskSpan's Edge Platform is designed to be easy. How easy? So easy that we challenged a user to create a
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Get Free Access to RiskSpan’s Non-Agency Performance Trends Dashboard
The latest addition to RiskSpan’s free RS Insights dashboard enables users to delve into insightful non-Agency delinquency trends. Slice and dice CoreLogic loan-level data by
![RiskSpan Launches MBS Loan Level Historical Data on Snowflake Marketplace](https://riskspan.com/wp-content/uploads/2024/06/Snowflake-RS-hero-1024x578.png)
RiskSpan Launches MBS Loan Level Historical Data on Snowflake Marketplace
ARLINGTON, Va., June 18, 2024 – RiskSpan, a leading provider of data analytics and risk management solutions for the mortgage industry, announced today that it
![The newest, fastest and easiest way to access and analyze Agency MBS data](https://riskspan.com/wp-content/uploads/2024/05/Snowflake-Marketplace-blog-hero-1024x576.png)
The newest, fastest and easiest way to access and analyze Agency MBS data
TL;DR Summary of Benefits Data normalization and enhancement: RiskSpan’s MBS data on Snowflake normalizes Fannie, Freddie, and Ginnie loan-level data, consolidating everything into one set
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Transforming Loan Data Management Using Snowflake Secure Data Sharing
Presenters Paul Gross Senior Quantitative Analyst, Rithm Capital Michael Cowley Principal, Data Cloud Products, Snowflake Bernadette Kogler CEO, RiskSpan Suhrud Dagli CTO, RiskSpan Wednesday, May
![Snowflake and the Future of Data Sharing Across Financial Institutions](https://riskspan.com/wp-content/uploads/2024/05/Snowflake-Blog-Hero-1024x585.png)
Snowflake and the Future of Data Sharing Across Financial Institutions
The digitization of the financial services industry has opened countless doors to streamlining operations, building customer bases, and more accurately modeling risk. Capitalizing on these
![Loans & MSRs: Managing model assumptions and tuners the easy way](https://riskspan.com/wp-content/uploads/2024/04/hidden-features-background-1024x576.png)
Loans & MSRs: Managing model assumptions and tuners the easy way
One of the things that makes modeling loan and MSR cash flows hard is appropriately applying assumptions to individual loans. Creating appropriate assumptions for each
![How an MSR Analytical Solution Can Boost Your Mortgage Banking Business](https://riskspan.com/wp-content/uploads/2024/04/Picture1-1024x683.png)
How an MSR Analytical Solution Can Boost Your Mortgage Banking Business
And why it's probably less expensive than you think Mortgage servicing rights (MSRs) are complex and volatile assets that require careful management and analysis. Inherent
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What Do 2024 Origination Trends Mean for MSRs?
While mortgage rates remain stubbornly high by recent historical standards, accurately forecasting MSR performance and valuations requires a thoughtful evaluation of loan characteristics that go
![GenAI Applications for Loans and Mapping Data](https://riskspan.com/wp-content/uploads/2024/03/Picture2-1024x576.png)
GenAI Applications for Loans and Mapping Data
RiskSpan is actively furthering the advancement of several GenAI applications aimed at transforming how mortgage loan and private credit investors work and maximizing their efficiency
Our Insights
![RiskSpan to Offer Credit Risk Transfer Data Through Edge Platform](https://riskspan.com/wp-content/uploads/2020/06/news2-1.jpg)
RiskSpan to Offer Credit Risk Transfer Data Through Edge Platform
ARLINGTON, VA, September 6, 2018 -- RiskSpan announced today its rollout of Credit Risk Transfer (CRT) datasets available through its RS Edge Platform.
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Big Companies; Big Data Issues
Data issues plague organizations of all sorts and sizes. But generally, the bigger the dataset, and the more transformations the
![Here Come the CECL Models: What Model Validators Need to Know](https://riskspan.com/wp-content/uploads/2020/06/case-study-1.jpg)
Here Come the CECL Models: What Model Validators Need to Know
As it turns out, model validation managers at regional banks didn't get much time to contemplate what they would do
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Houston Strong: Communities Recover from Hurricanes. Do Mortgages?
The 2017 hurricane season devastated individual lives, communities, and entire regions. As one would expect, dramatic increases in mortgage delinquencies
![COVID-19 in the Cloud](https://riskspan.com/wp-content/uploads/2020/06/rainbow-featured-1024x529.jpg)
MDM to the Rescue for Financial Institutions
Data becomes an asset only when it is efficiently harnessed and managed. Because firms tend to evolve into silos, their
![COVID-19 in the Cloud](https://riskspan.com/wp-content/uploads/2020/06/rainbow-featured-1024x529.jpg)
Making Data Dictionaries Beautiful Using Graph Databases
Most analysts estimate that for a given project well over half of the time is spent on collecting, transforming, and
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Augmenting Internal Loan Data to Comply with CECL and Boost Profit
The importance of sound internal data gathering practices cannot be understated. However, in light of the new CECL standard, many
![Applying Machine Learning to Conventional Model Validations](https://riskspan.com/wp-content/uploads/2020/06/innovation-alternative-data-1.jpg)
Applying Machine Learning to Conventional Model Validations
In addition to transforming the way in which financial institutions approach predictive modeling, machine learning techniques are beginning to find
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Applying Model Validation Principles to Machine Learning Models
Machine learning models pose a unique set of challenges to model validators. While exponential increases in the availability of data,
![RiskSpan Director David Andrukonis Featured on The Purposeful Banker Podcast](https://riskspan.com/wp-content/uploads/2020/06/collaborative-report-1.jpg)
RiskSpan Director David Andrukonis Featured on The Purposeful Banker Podcast
RiskSpan's CECL Soution Director David Andrukonis was a featured guest on PrecisionLender's podcast, The Purposeful Banker in their recent episode
![CECL modeling](https://riskspan.com/wp-content/uploads/2020/06/credit-analytics-1.jpg)
Choosing a CECL Methodology
CECL presents institutions with a vast array of choices when it comes to CECL loss estimation methodologies. It can seem
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Machine Learning Detects Model Validation Blind Spots
Machine learning represents the next frontier in model validation—particularly in the credit and prepayment modeling arena. Financial institutions employ numerous
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