Associate Economist 2

Skills and Competencies
Strong analytical and problem-solving skills, with the ability to evaluate economic, financial, demographic, and related time series data for accuracy, completeness, and consistency
Demonstrated ability to work with structured datasets, database platforms, spreadsheets, scripting tools, and query languages to support data management, quality control, and process improvement
Clear and effective communicator with the ability to document methodology, metadata, assumptions, and data processes for internal users and external client-facing applications
Self-motivated and proactive, with strong attention to detail and the ability to work both independently and collaboratively across global teams
Ability to manage multiple priorities, exercise sound judgment, and contribute to solutions in situations where data availability, methodology, or client requirements may be complex or uncertain
Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Education
Bachelor's degree in economics, finance, statistics, mathematics, data analytics, data science, computer science, business intelligence, or a related field
Advanced coursework or practical experience in economics, econometrics, statistical analysis, programming, database management, or data visualization is preferred Relevant professional experience in economic data, financial data, data operations, research support, or analytical database management is preferred
Knowledge of one or more foreign languages is desirable, particularly where it supports research, interpretation, or quality control of international data sources
Responsibilities
The Associate Economist 2 will support the Economics Center of Excellence by maintaining, enhancing, and documenting economic and demographic time series datasets used in Moody's Analytics products and research workflows, combining economic data expertise, analytical thinking, process improvement, and technology-enabled data operations.
Maintain and enhance historical, estimated, analytical, and value-added economic datasets used in client facing products and internal research workflows
Administer economic time series databases to support accuracy, integrity, timeliness, completeness, and usability of managed datasets
Research the availability, structure, methodology, and reliability of economic, financial, demographic, and related data from public and licensed sources
Review, validate, and reconcile incoming data using analytical judgment, documented procedures, and appropriate quality control techniques
Develop, improve, and maintain repeatable data processes that increase productivity, reduce operational risk, and improve output quality
Create and maintain metadata, methodology notes, source documentation, and dataset descriptions that help clients and colleagues understand data content, coverage, transformations, and appropriate use
Support implementation of automation and AI-enabled solutions that improve data ingestion, validation, monitoring, documentation, and workflow efficiency
Collaborate with economists, data engineers, operations colleagues, technology partners, and other stakeholders to resolve data issues, support knowledge sharing, and contribute to special projects and workflow modernization initiatives
About the Team
The Economics Center of Excellence at Moody's Analytics helps professionals worldwide navigate an evolving marketplace with confidence by transforming economic data, research, and analytics into insight that supports better decision-making amid uncertainty. This role sits within the Data Services group, which maintains and expands historical and estimated time series databases and drives process improvement initiatives to enhance productivity, timeliness, and output quality. Our team works at the intersection of economics, data operations, technology, and client impact — maintaining high-quality economic and demographic datasets used in analytical products, forecasting workflows, research, and client-facing applications; improving data operations through automation, workflow modernization, quality controls, and scalable documentation practices; and exploring the responsible use of AI to enhance data processing, metadata creation, quality review, anomaly detection, and operational efficiency. By joining our team, you will contribute to global economic data operations, work with colleagues across locations and disciplines, and help modernise the way Moody's manages, documents, and delivers trusted economic information