22h ago , from E-Financial Careers Australia

- 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 solid 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

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 is

📌 Associate Economist 2 (Sydney)
🏢 Moody'S
📍 Sydney