Data Scientist

Federal Reserve Bank of Philadelphia•Saint Louis, MO

About The Position

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.

Requirements

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 learn new technical tools and software applications
Ability to interact professionally and communicate clearly, both verbally and in writing, with U.S. Treasury, financial institutions and Federal Reserve Bank partners to obtain information, respond to inquiries, analyze documentation and resolve issues
Demonstrated strong analytical, organizational, and problem-solving skills and the ability to manage numerous projects and work processes
Ability to carry out assignments with minimal supervision as well as work effectively as a part of a team
Demonstrated strong customer service skills in providing information to all levels of the organization and customers
Ability to comprehend, communicate and apply U.S. Treasury and Reserve Bank policies and procedures
Position requires US Citizenship

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