Nathan Dodge
About Nathan Dodge
Nathan Dodge is a Senior Analyst in Treasury Markets Policy at the Federal Reserve Bank of New York, where he has worked since 2021. He holds a Bachelor of Arts in Economics and a Bachelor of Science in Business Administration, Finance from Binghamton University.
Current Role at Federal Reserve Bank of New York
Nathan Dodge serves as a Senior Analyst in Treasury Markets Policy at the Federal Reserve Bank of New York. He has held this position since 2021, contributing to the analysis and development of policies related to treasury markets. His role involves evaluating market conditions and providing insights that inform decision-making processes within the institution.
Previous Experience at Federal Reserve Bank of New York
Prior to his current role, Nathan Dodge worked at the Federal Reserve Bank of New York in various analytical positions. He was an Analyst in Cross-Market Monitoring from 2019 to 2020 and then transitioned to an Analyst in Treasury Markets Policy from 2020 to 2021. These roles allowed him to gain substantial experience in market analysis and policy formulation.
Experience at Societe Generale Corporate and Investment Banking
Nathan Dodge worked as a Markets Product Control Analyst at Societe Generale Corporate and Investment Banking from 2017 to 2019. This role was based in New York, New York, and involved responsibilities related to product control within the markets division, enhancing his understanding of financial products and market dynamics.
Educational Background
Nathan Dodge studied at Binghamton University, where he earned a Bachelor of Arts in Economics and a Bachelor of Science in Business Administration with a focus on Finance. His studies spanned from 2013 to 2017, equipping him with a strong foundation in economic theory and financial principles.
Internship Experience at Triton Research
In 2016, Nathan Dodge completed a three-month internship as a Data Engineering Intern at Triton Research in New York, New York. This internship provided him with practical experience in data engineering, contributing to his analytical skills and understanding of data management in a research context.