Jeremy Woodbeck
About Jeremy Woodbeck
Jeremy Woodbeck is a Senior Automation Solution Developer and Regulatory Reporting QA Team Supervisor at UBS, with over 24 years of experience in the financial services sector. He has held various roles at UBS and Wells Fargo, specializing in Robotics Process Automation and data science.
Current Role at UBS
Jeremy Woodbeck serves as a Senior Automation Solution Developer and Regulatory Reporting QA Team Supervisor at UBS since 2018. His role involves overseeing automation solutions and ensuring quality assurance in regulatory reporting processes. He operates from Stamford, Connecticut, where he applies his extensive experience in financial services to enhance operational efficiency.
Previous Experience at UBS
Woodbeck has held multiple positions at UBS, including Senior Business Analyst for OTC Derivatives Settlements from 2010 to 2017, and as an Authorized Officer - RPA Configurator/Developer/Senior Business Analyst in Capital Markets from 2017 to 2018. His tenure at UBS spans over a decade, contributing to various aspects of financial operations and regulatory compliance.
Experience at Wells Fargo Investments
Before his time at UBS, Jeremy Woodbeck worked at Wells Fargo Investments LLC as a Mutual Fund Trade Support Team Lead from 2004 to 2007. In this role, he managed trade support operations, ensuring efficient processing and resolution of mutual fund transactions.
Education and Professional Development
Woodbeck studied at the University of Minnesota from 2004 to 2007 and later attended the Massachusetts Institute of Technology, where he achieved a Professional Certificate in 2021. He also completed the MIT Professional Applied Data Science Program Certification, which enhanced his skills in data science and analytics.
Expertise in Automation and Data Science
Jeremy Woodbeck specializes in Robotics Process Automation (RPA) and possesses advanced skills in machine learning techniques, including linear regression and classification. He is proficient in data visualization and analysis tools such as Tableau, Matplotlib, and Python, which he utilizes to support complex calculations and data modeling in financial services.