at Moody's
OtherPosted 3 days ago
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**Associate Economist 2** in Prague, Czech Republic: Experienced candidates sought to maintain, enhance, and document economic datasets at Moody's Economics COE. Key responsibilities include data administration, process improvement, metadata creation, and collaboration with economists and technologists. Required skills include strong analytical and problem-solving abilities, proficiency in structured datasets, database platforms, and scripting tools. AI experience and Bachelor's degree in economics, finance, or related field are preferred. Join us to navigate today's risks and turn them into tomorrow's opportunities.
- Compensation
- Not specified
- City
- Prague
- Country
- Czech Republic
Currency: Not specified
Full Job Description
Associate Economist 2
Prague, Czech Republic
At Moody's, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
- 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
- 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
- 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
Moodys is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moodys Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
