Miami)

Federal Reserve Bank of Philadelphia•Atlanta, GA

12h•Onsite

About The Position

As an employee of the Atlanta Fed, you will help support our mission of promoting the stability and efficiency of the U.S. economy and financial system. Your work will affect the economy of the Southeast, the United States, and the world. The work we do here is important, and how we do it is just as important as what we do. We live our values of integrity, excellence, and respect every day. We do the right thing, we do things right, and we treat people right. A career at the Federal Reserve Bank of Atlanta gives you the chance to do work that touches lives and helps communities prosper. The Bank believes in flexibility to balance the demands of work and life while also recognizing the necessity of connecting and collaborating with our colleagues in person. Onsite work is an essential function of this position, and you are required to be onsite according to the schedule set by your management. This position can be located in either Atlanta or Miami and based on experience, we are looking for either a Data Scientist or a Sr. Data Scientist. Creates descriptive and diagnostic analytics that explore data and relationships between involved entities and events, culminating in predictive or prescriptive analytics. Models complex problems by discovering insights and identifying opportunities using statistical, algorithmic, mining and visualization techniques. Facilitates obtaining data from a variety of different sources, in the right formats, assuring that it adheres to data quality standards, as well as resolving any information flow and content issues. Proficient at architecting, integrating, and preparing large, varied datasets. Consults and advises on best practices for data manipulation. Develops or assists in the development of internal MIS tools and other technologies to support risk identification and enhancing processes. Creates visualizations to facilitate information sharing. Also, works closely with clients and IT teams to turn data into critical information that can be used to make sound business decisions. Contributes to building perspectives on industry modeling approaches for a variety of business problems. Serves as an internal consultant to staff, Department officers, and Reserve Bank management. Has an understanding of economics, finance, mathematics, and/or computer science.

Requirements

Data Scientist: Bachelor’s Degree or 4 years equivalent experience, Masters Degree preferred
Sr. Data Scientist: Master’s Degree or 5 years of equivalent experience in Mathematical, Economics, or Computer Science
Data Scientist: 3+ years of experience
Sr. Data Scientist: 5+ years of experience
Data and General Architecture Principles
Emerging Technologies, Strategic and Analytical skills
Quantitative skills, advanced degrees in STEM fields and knowledge of statistical/econometric/AI/ML methods for developing models and tools
Data Management Standards and Frameworks
Data Analytical & Business Intelligence Tools
Proficient with at least one widely used statistical or data science programming language (such as R or Python)

Responsibilities

Conducts complex data analysis and modeling using statistical, econometric, or AI/ML techniques to meet business needs.
Develops analytics and MIS with transparent documentation supporting the development and uses of the tools in line with internal policies and procedures.
Appropriately tests, maintains and monitors the tool or develop a plan for these responsibilities to be covered.
May also review other internally developed tools for quality assurance purposes.
Positions in Supervision & Regulation will develop SupTech technologies.
Leverages Generative AI tools to perform tasks efficiently while also ensuring quality and reliability of output.
Understands key business drivers and advises on best ways to manipulate data to provide insights and outcomes.
Identifies available and relevant data, including internal and external data sources, leveraging new data collection processes and channels.
Models and frames meaningful business scenarios and the impact on critical business processes and/or decisions.
Works with stakeholders and analysts to identify business requirements and expected outcomes.
Works iteratively with customers, validating findings along the way and seeking and responding to feedback.
Develops experimental design approaches to validate or test hypotheses.
Creates visualizations to help end-users understand and use results of analysis/models/tools.
Works to design, develop, and implement data architecture strategies and solution recommendations in support of business strategies.
Provides business metrics for projects to show improvements, and monitors improvements both initially and over multiple iterations.
Collaborates with data stewards to ensure that information used follows the compliance, access management, and control policies and that it meets the qualification and assurance requirements
Serves as a resource in quantitative analytics for Bank, department management, and senior staff.
Maintains proficiency in advanced statistical/analytical methods and methodologies; and monitors white papers, industry developments and other key knowledge sources.
Identifies opportunities for reuse of coding assets through modular code design and sharing through platforms such as Gitlab.
Working knowledge of more than one design methodology and framework and Data Architecture principles