Data and Technology Analyst II

About the Team

The Trade and Quantitative Studies (TQS) section of the Division of International Finance (IF) drives policy analysis, forecasts, and research on international trade, oil, and commodity markets. Much of this work relies on quantitative models, including the Division's forecasting model of U.S. net exports, which serves as an essential component of the Board's internal GDP forecast. To support this mission, TQS maintains a variety of critical databases and models while conducting academic research across international economics and macroeconomics.

About the Role

As a Technology Analyst, you will provide coding and subject matter expertise to manage and analyze trade and commodities markets data. You will be instrumental in turning developmental financial and economic models into production-ready code, bridging the gap between research concepts and operational reality.

In this role, you will serve as the section lead for developing AI and Large Language Model (LLM) infrastructure, such as Claude Code, ensuring their responsible integration into research and policy work. You will collaborate closely with economists, financial analysts, and data scientists on projects involving big data analysis. Your day-to-day involves improving automation, computing, and database environments, developing technical training for section members, and maintaining documentation of production processes to implement best practices.

Hiring Process

Candidates are evaluated based on their proficiency in programming (specifically R, with experience in Python and/or Matlab), software development practices, and ability to lead infrastructure initiatives. The selection process assesses technical capability alongside the ability to work collaboratively with senior staff and communicate progress clearly.

Location and Compensation

This position is located in Washington, DC, and requires in-office presence. The expected salary range for this role is $96,700 - $190,900, which spans all posted grades. Final offers are determined by the grade for which you minimally qualify and are influenced by experience, education, and internal and external factors.

Equal Opportunity

We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.