Edge Platform Cloud native solution for loans and structured finance investments. OnDemand Run analytics for loans, securities, and MSRs. OnDemand or Managed Service. Run portfolio analytics and market risk on over 70+ asset classes. Access and select shock scenarios from our extensive library.
The RiskSpan EDGE Platform is a fully cloud native analytics solution designed for loans, mortgage servicing rights (MSRs), private credit, agency MBS, and other structured finance assets. With seamless integration of data, models and analytics, it empowers investors, risk managers and portfolio teams to manage asset performance, valuations, credit risk, climate risk and reporting at scale. Key capabilities include On Demand Analytics: Historical performance, trend & composition analytics, loan collateral analysis and trade analytics for wholeloan and structured products. Trading & Risk Tools: Market risk and credit risk analytics, scenario libraries, stress tests and value at risk for 70+ asset classes. Managed & Data Services: From loan level data ingestion and validation to model development, Snowflake integration and model risk governance. The platform is modular and scalable: users can start with core data management and analytics modules and scale out to custom workflows, advanced models or user defined analytics. With RiskSpan expertise behind it, you get both powerful software and expert guidance. Use cases include evaluating trade opportunities in agency MBS and RMBS, performing loan portfolio surveillance, calculating allowances under CECL, assessing climate risk exposure and running valuation models for private label securities. RiskSpan EDGE gives your organization the flexibility to pay for what you use and leverage best in class analytics without heavy infrastructure investment all in a secure, cloud native environment. Please contact info@riskspan.com for a private listing.
Highlights
Cloud-native solution for loans and structured finance investments.
On-Demand. Run analytics for loans, securities, and MSRs.
On-Demand or Managed Service. Run portfolio analytics and market risk on over 70+ asset classes. Access and select shock scenarios from our extensive library.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing has one pricing dimension: the RiskSpan EDGE License, billed per user under a contract. You pay based on the number of users who need standard access to the EDGE SaaS platform. Pricing scales with your user count, so you add licenses as your team grows. There are no separate tiers or add-on options in the pricing table. The platform is delivered as a cloud-native SaaS product for loan and structured finance analytics.
Top-of-mind questions for buyers
What counts as one user for billing on the EDGE License?
Each user license covers one named individual who logs into the EDGE platform. You pay per person who needs standard access, not per device or session. To add more people, you add more user licenses.
How does my cost change as my team grows?
Cost scales with the number of user licenses you hold. Each additional user who needs platform access requires another license. You add licenses as your team grows, and the total reflects your current user count.
What does the EDGE License give access to on the platform?
Standard access covers RiskSpan's cloud-native analytics for loans, securities, mortgage servicing rights, and structured finance. This includes historical performance data, trade and portfolio analytics, and predictive prepayment and credit models delivered through the SaaS platform.
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