Federal Reserve Bank of St. Louis · 5 hours ago
Data Scientist
St Louis, MO
Full-time
Onsite
Entry, Mid Level
$95K/yr - $121K/yr
2+ years expThe Federal Reserve Bank of St. Louis is seeking a Data Scientist for the Treasury Division’s Forecasting and Cash Management Analytics Group. The role involves transforming raw data into insights, developing machine learning solutions, and interacting with Treasury clients to enhance economic forecasting models.
Finance
No H1B
U.S. Citizen Only
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
Qualification
Required
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
Candidates with less experience may be considered at a lower job grade and/or salary
Travel (5%)
Position requires US Citizenship
Benefits
Generous paid time off
Tuition & Training assistance/reimbursement
401(k) match & Annuity/Pension fund
Top-notch health care benefits
Child and family care leave
Professional development opportunities
And more...
Company
Federal Reserve Bank of St. Louis
Federal Reserve Bank of St. Louis is a Reserve Bank of St.Louis. It has developed an app FRED Economic Data for iPad and iPhone users.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
A
Alberto G. Musalem
President and CEO
Matuschka Briggs
SVP Federal Reserve Bank of St. Louis | Regional Executive | Little Rock Branch
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