Data Science Club Speaker Series - Moody's Analytics
Registration
Details
LUNCH WILL BE PROVIDED
File Attachments: Machine Learning_ Challenges and Opportunities in Credit Risk Modeling.pdf
Where
C125 @ Cheit Hall
2220 Piedmont Avenue, S430, Berkeley, CA 94720, United States
Speakers
Irina Korablev
Senior Director
Moody's Analytics
Irina Korablev leads the Data Science and Analytics team within Data Intelligence group at MoodyÔÇÖs Enterprise Risk Solutions (ERS) division. Her team provides data driven insights, products and innovations based on the ERS data assets and delivers validation studies for MoodyÔÇÖs Analytics default probability models.
Prior to her current role Irina led operations for MoodyÔÇÖs AnalyticsÔÇÖ Credit Research Database, one of the worldÔÇÖs largest private firm credit risk data repositories that enabled the MoodyÔÇÖs RiskCalcÔäó product line, which now covers 28 countries and 80% of the worldÔÇÖs GDP. As a member of the ERS Research Team Irina developed the Loss Given Default model for LossCalcÔäó and private firm default probability model for RiskCalcÔäó Russia. A veteran of MoodyÔÇÖs Analytics, Irina was one of the early employees at KMV, taking over management of the data assets from one of the founders.
Irina holds an MS in Applied Math from Moscow State University and MA in Economics from Central European University, completing her studies in Essex, UK and Budapest, Hungary. When not at work, you can find Irina and her family on ski slopes or in the wilderness, exploring the far away and exotic places.
Rama Sankisa
Associate Director
Moody's Analytics
Rama Sankisa is an Associate Director in Data Intelligence Group at MoodyÔÇÖs Analytics. He develops quantitative models focused on text analytics to discover insights that will be turned into new metrics and data products. He is also responsible for improving data acquisition and collection to help MoodyÔÇÖs build robust data collection infrastructure.
Prior to his current role, Rama worked as a Quantitative Researcher in MoodyÔÇÖs Analytics portfolio and balance sheet solutions Group where he built stochastic macro-economic and exchange rate models for insurance clients. He also contributed in developing solutions for stress-testing money market funds.
Prior to joining MoodyÔÇÖs Analytics, Rama has worked for Goldman Sachs where he supported exotic derivative structuring and trading desks on their new product issuances.
Rama holds Masters in Financial Engineering degree from University of California, Berkeley.