Quant Fellowship

Company

Federal Reserve Bank of Atlanta

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.



* 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.  In addition, 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.



* 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 informatio...