This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Refinitiv US Organization LLC. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations of Ryan Roser in Credit Risk Assessment
Introduction
Ryan Roser is an accomplished inventor based in Portland, OR (US). He has made significant contributions to the field of credit risk assessment through his innovative patent. His work focuses on utilizing deep learning techniques to enhance the accuracy and efficiency of credit risk evaluations.
Latest Patents
Ryan Roser holds a patent titled "Deep learning approach for assessing credit risk." This patent describes systems and methods designed to facilitate credit risk assessment. The innovative approach involves implementing and training a credit risk model that comprises both a document model and a company model. The document model is capable of reading the text of a document, understanding long-range relationships between words and phrases, and identifying the occurrence of financial events. It generates a document score that indicates the likelihood of these financial events based on the analyzed document. Additionally, a document-model-state vector is created to represent important features and relationships identified within each document and across a set of documents for a given entity. The company model then produces a sequence of default probability scores that represent the overall likelihood of financial events occurring for an entity based on the document-model-state vector.
Career Highlights
Ryan Roser is currently employed at Refinitiv US Organization LLC, where he applies his expertise in credit risk assessment. His innovative work has positioned him as a key player in the development of advanced credit risk models.
Collaborations
Ryan collaborates with Adam Bronstein, leveraging their combined expertise to further enhance their projects in credit risk assessment.
Conclusion
Ryan Roser's contributions to the field of credit risk assessment through his innovative patent demonstrate his commitment to advancing financial technologies. His work not only improves the accuracy of credit evaluations but also showcases the potential of deep learning in financial applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile