Data Scientist

Company

Federal Reserve Bank of St.

Louis

The St Louis Fed is one of 12 Reserve Banks serving all or parts of Missouri, Illinois, Indiana, Kentucky, Tennessee, Mississippi and Arkansas with branches in Little Rock, Louisville and Memphis.

The St.

Louis Fed’s most critical functions include promoting stable prices and economic growth, fostering a sound financial system, providing payment services to financial institutions, supporting the U.S.

Treasury's financial operations, and advancing economic education, community development and fair access to credit.

The Federal Reserve Bank of St.

Louis is seeking a Data Scientist for the Treasury Division’s Forecasting and Cash Management Analytics Group.

The team supports the U.S.

Treasury’s Office of Fiscal Projections (OFP) in estimating the Government’s daily cash position, determining marketable borrowing requirements and ensuring total debt outstanding is within statutory limitations.

The position interacts with product owners, software engineers and production support staff that support the Fiscal Projections System (FPS), to advance program goals.

Responsibilities


* Transform raw data into data-driven insights, trends, and patterns, and recommendations through use of data science and analytics modeling and programing tools


* Develop and implement a variety of machine learning solutions (classification, regression, clustering, reinforcement learning, natural language processing, GenAI) across a broad domain of financial and operational datasets


* Partner with engineers to set up technologies such as cloud environments, data pipelines, ensuring data quality, integrity, and accessibility


* Utilize knowledge of forecasting techniques including time-series, temporal disaggregation, and macroeconomic models to create, maintain, and enhance short- and long-term economic forecasting models


* Perform monthly comparative analysis of forecast model results using knowledge of forecast error metrics


* Produce reports suitable for technical and non-technical audiences that include statuses, explanations of results, and recommendations to improve forecast performance


* Interact with Treasury clients to gather business requirements, understand macroeconomic and legislative factors influencing Federal expenditures and revenues, and acquire necessary data to test and integrate the information into forecast models

Qualifications


* Bachelor’s degree in economics, statistics, mathematics, or other quantitative discipline or commensurate experience; Master’s degree preferred


* 2+ years statistical modeling experience, preferably in a financial institution or corporate Treasury area


* Demonstrated proficiency in Python, Stata, SAS, or other applicable statistical software packages


* Experience with GenAI, machine learning, cloud technologies


* Time-series modeling experience using ARIMA, ARCH, GARCH, or VAR


* Demonstrated ability to lear...