Join Us: RiskSpan at MISMO 2018

Join RiskSpan at MISMO 2018, where our Director of Model Development Fan Zhang will present on the implementation of Machine Learning. Specifically, he will tackle appropriate cases for the implementation of Artificial Intelligence and Machine Learning, determining if this technology is suitable for a problem, and some popular languages and libraries for implementation. The overall…

Join Us: RiskSpan at ABS East – Miami

Have you registered for ABS East this September? We’re excited to be sponsoring this important conference and having Managing Director, Janet Jozwik, as a featured moderator. Our team looks forward to catching up with some existing contacts, and meeting new ones in Miami. Subscribe to our newsletter to stay updated in the time before the conference!

Join Us: Webinar – Machine Learning in Building a Prepayment Model

Prepayment models are a key component in the valuation of mortgage-backed securities. With billions of dollars’ worth of investments hinging upon the accuracy of these models, the reliability of their predictions is of the utmost importance. Prepayment models are highly complex, and must account for a wide range of behaviors across diverse population segments. Please join…

Join Us: Blockchain and Beers

Join us for our Blockchain and Beers event, taking place on June 28th at 5:30 pm. This informal discussion will feature RiskSpan co-founder Suhrud Dagli, and Charlie Moore of the Global Debt Registry discussing RiskSpan’s latest blockchain application in structured finance. We will also be serving pizza, beer, and wine. Register now for this fun and informative event!…

Join Us: Webinar – Managing Down Model Validation Costs

Register for our webinar on Managing Down Model Validation Costs, taking place on Wednesday, June 20th at 11:30am EST. Model risk managers increasingly are being asked to do more with less. Expanding model inventories and regulatory expectations are not always accompanied by commensurate increases in model validation budgets. Consequently, model risk managers have to be creative…