RiskSpan

Thanks to our Amazon Web Services (AWS) partners for hosting our Executive Briefing at their mid-town NYC offices. Very productive day doing a deep dive on innovation and more. Anna Perez Jeff Ortolano Renee Lau Mitesh Patel Clint Hahn Franck Noel Scarlett Cornwallis Subhash Vanga Alvin Huang

Some fun candids from our Amazon Web Services (AWS) executive briefing in NYC last week. Appreciate the kind hospitality offered to Thomas Pappalardo, Bernadette Kogler, Suhrud Dagli, Patrick D., Praveen Vairavan, and Janet Jozwik and greatly value our AWS relationship and what it allows us to deliver to our clients.

We are grateful for talented, detail-oriented quality assurance professionals like Karthika Mani for helping ensure our Edge Platform and other applications are performing at their peak! Learn more about Karthika at https://lnkd.in/e4Zqk4ku

Register today to learn how mortgage investors are using Snowflake Data Share to transform their loan data management (and how you can, too!). https://lnkd.in/d_Et7rs5 May 29th, 2024 | 1:00 p.m. ET Panelists to include: Paul Gross, Senior Quantitative Analyst, Rithm Capital Michael Cowley, Principal, Data Cloud Products, Snowflake Bernadette Kogler, CEO, RiskSpan Suhrud Dagli, CTO, RiskSpan Other panelists to be announced

Congrats, Tonix Wang!

Register for free access to the daily GSE prepayment data (and other elements of RiskSpan's free trading platform at https://lnkd.in/ehKi3pA9

The RiskSpan team is excited to announce our commitment to gen AI and becoming the go-to for prompt engineering in structure finance and private credit. Crafting good prompts is an essential skill that requires a deep understanding of the domain and the capabilities and limitations of the AI model. With this expertise, our team produces reliable responses while avoiding ambiguity or unintended biases. As the demand for this skill grows, we are proud to be at the forefront of this cutting-edge technology. Reach out to us to lean more. Thank you to Amazon Web Services (AWS) for hosting us at AWS Builder Day. Another successful day at AWS HQ2! Thomas Pappalardo Dan Kim Praveen Vairavan Suhrud Dagli Rohan Popenoe Jack Ryan Junghee Mun Priyank Shah #genAI #AIengineering #AWSBuilderDay #structuredfinance #mortgageloans

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 loan or MSR segment is crucial to estimating realistic performance scenarios, stress testing, hedging, and valuation. However, manually creating and maintaining such assumptions can be time-consuming, error-prone, and inconsistent across different segments and portfolios. Fortunately, Janet Jozwik knows some hidden tricks running loan-level analytics using the Edge Platform’s segment builder and loan model assumptions features.

Mortgage servicing rights (MSRs) are complex and volatile assets that require careful management and analysis. Inherent in MSR risk management is the need to monitor portfolio performance, assess risks and opportunities, evaluate and implement risk-reducing strategies such as recapture and interest rate hedging, and effectively communicate all this to investors and regulators. Handling all this has traditionally required an enormous budget for data, software, and consultants. Many mortgage banks are left with either using outdated and inflexible internal systems or outsourcing their analytics to third parties that lack full transparency and bill clients for every request. In this post, Raj Dosaj and Daniel Fleishman explain why it no longer has to be this way.

RiskSpan enjoying an 87% eclipse of the sun in Arlington VA! Amazing to see this and all viewers wearing ISO 12312-2 compliant glasses.