- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 3 days ago
- Work mode
- Work from home
- Education
- Macroeconomics, Econometrics, or related quantitative field
- Eligibility
- Qualified candidates with the relevant technical skills and experience are welcome to apply, regardless of background, prior job history, or prior experience level.
- Resume
- Required to apply
Job description
Role Summary
This position is for a remote macroeconomist supporting a client in the technology sector. The work centers on building and sustaining macroeconomic models in EViews, examining economic patterns, forecasting possible scenarios, and turning the findings into inputs for strategic decisions.
Work Location
This is a work-from-anywhere opportunity.
Compensation
The payout is competitive and will depend on the candidate’s experience.
Key Responsibilities
- Create, test, and improve macroeconomic models in EViews to assess policy effects and different economic scenarios.
- Study both historical and current economic data to spot trends and shape model assumptions.
- Work with stakeholders to convert model results into practical recommendations for business or policy use.
- Record the methods, assumptions, and known limits of the models to keep the work clear and reproducible.
- Share insights with non-technical audiences through well-structured reports and presentations.
Required Qualifications
The role calls for strong capability in EViews for time-series econometric analysis and forecasting, along with a solid foundation in macroeconomics, econometrics, or another quantitative discipline. Candidates should also be comfortable with data analysis, statistical modeling, interpreting economic indicators, and writing/debugging EViews scripts for automation and scenario testing. Clear written and spoken communication is essential.
Additional Information
This opportunity offers exposure to high-impact economic modeling work for a global technology client. The assignment includes forecasting, policy analysis, and strategic advisory, using modern tools and methods in a fast-moving environment.
Equal Opportunity
Selection is based on skills and expertise. All qualified applicants are considered fairly, regardless of background, experience history, or prior employment.