Financial Services Risk Mitigation: Model Risk Management
A Model Risk Management framework including best practices for model documentation and ongoing monitoring are mission critical to financial institutions as they operate in an ever increasing regulatory environment. Discover how risk personnel in the financial services industry can prioritize governance and security with an end to end solution including automated model compliance documentation, deployment reports, and set performance guardrails around models.
Jay Schuren serves as Chief Data Science Officer, where he leads customer-facing data science teams and initiatives across the company, supports new and existing customer partnerships, and drives strategic opportunities. Schuren joined DataRobot in 2017 as part of the acquisition of Nutonian and led the integration of its Eureqa’s software, which advanced predictive modeling capabilities to the masses. Schuren is based in Somerville, MA.
Diego Oppenheimer is the EVP of MLOps at DataRobot, and previously was co-founder and CEO of Algorithmia, the enterprise MLOps platform, where he helped organizations scale and achieve their full potential through machine learning. After Algorithmia was acquired by DataRobot in July 2021, he has continued his drive for getting ML models into production faster and more cost-effectively with enterprise-grade security and governance. He brings his passion for data from his time at Microsoft where he shipped Microsoft’s most used data analysis products including Excel, Power Pivot, SQL Server, and Power BI. Diego holds a Bachelor’s degree in Information Systems and a Masters degree in Business Intelligence and Data Analytics from Carnegie Mellon University.