Asst Dir-Economist 2

About the role

The Quantitative Research Group develops and operates advanced financial, regional economic, and demographic datasets that power research, analytics, and decision-ready insights across the organization. The team owns the full data lifecycle, from sourcing and harmonization through estimation, quality assurance, documentation, and release management, ensuring proprietary data products are rigorous, transparent, and scalable.

Responsibilities

• Develop and maintain advanced regional economic and demographic datasets that support research, forecasting, analytics, and decision-making across the organization
• Operationalize proprietary regional demographic and economic databases, including data cleaning, harmonization, estimation, and ongoing maintenance
• Ingest, clean, and standardize data from a variety of international sources and implement reproducible data quality checks and anomaly detection processes
• Harmonize definitions, geographic crosswalks, and time series to ensure comparability across regions, industry classifications, geographic boundary changes, and temporal breaks
• Create production-grade data pipelines and tooling to operationalize recurring data refreshes, releases, and validation workflows
• Design, build, maintain, and continuously improve proprietary regional demographic and economic datasets used for modelling and forecasting applications
• Document data provenance, methodologies, transformations, and versioning to support transparency, auditability, and stakeholder use
• Collaborate with economists, data scientists, and product stakeholders to translate complex data into scalable and actionable analytical assets

Requirements

Strong foundation in international regional economics, including analysis of subnational and cross-country economic, demographic, and financial conditions, with emphasis on producing consistent regional datasets for modelling, forecasting, and applied research

Baseline knowledge of economic, demographic, and financial time series data, including concepts such as frequency, seasonality, revisions, breaks in series, geographic comparability, and harmonization across definitions and vintages

Experience using international data sources, including national statistical offices, central banks, multilateral institutions, administrative sources, and commercial datasets to acquire, evaluate, clean, and integrate regional and macroeconomic indicators

Advanced quantitative economics skills, including time series analysis, econometrics, statistical techniques, data cleaning, estimation, and validation methods used to develop reliable regional economic and demographic datasets

Working familiarity with geospatial concepts and geographic data structures sufficient to support regional data production, including geographic crosswalks, boundary changes, and spatial consistency checks

Programming skills to build analytical pipelines and infrastructure, reproducible workflows, and data validation

Working knowledge of AI-assisted development tools and workflows, including LLM coding assistants, agentic systems, MCP integrations, and related frameworks, to accelerate productivity and improve data usability

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

Qualifications

B.S. in a relevant field aligned with the required skills is required, with 5+ years of relevant experience in economic, demographic, financial, data science, statistics, or related quantitative work

Relevant fields may include Economics, Statistics, Data Science, Finance, Applied Mathematics, or another related discipline

Skills

• Strong foundation in international regional economics
• Baseline knowledge of economic, demographic, and financial time series data
• Experience using international data sources
• Advanced quantitative economics skills
• Working familiarity with geospatial concepts and geographic data structures
• Programming skills to build analytical pipelines and infrastructure
• Working knowledge of AI-assisted development tools and workflows
• Demonstrated proficiency in artificial intelligence concepts

Benefits

Moody’s offers a competitive benefits package, including medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Pay

The anticipated hiring base salary range for this position is $98,800.00 - $143,350.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation.

Schedule

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.