Role overview
Oxford Economics was founded in 1981 as a commercial venture with Oxford University’s business college to provide economic forecasting and modelling to UK companies and financial institutions expanding abroad. Since then, we have become one of the world’s foremost independent global advisory firms, providing reports, forecasts and analytical tools on more than 200 countries, 250 industrial sectors, and 7,000 cities and regions. Our best-of-class global economic and industry models and analytical tools give us an unparalleled ability to forecast external market trends and assess their economic, social and business impact.
Headquartered in Oxford, England, with regional centres in London, New York, and Singapore, Oxford Economics has offices across the globe in more than 15 cities. We employ more than 400 professional economists, industry experts and business editors—one of the largest teams of macroeconomists and thought leadership specialists. Our global team is highly skilled in a full range of research techniques and thought leadership capabilities, from econometric modelling, scenario framing, and economic impact analysis to market surveys, case studies, expert panels, and web analytics.
What you'll work on
Project Delivery**
- Contribute to the delivery of consulting projects by producing high-quality economic and econometric analysis, forecasts, and supporting materials including reports and presentations
- Independently design, estimate, and interpret time-series econometric models for forecasting, scenario analysis, and stress testing
- Apply quantitative data science techniques to large scale macroeconomic and market datasets using Python and/or R, alongside Excel-based tools
- Present aspects of analytical work in internal and client-facing meetings, tailored to both non-technical and technical business audiences
- Ensure project deliverables are clear, accurate, and appropriately structured for different client audiences
What we're looking for
- Strong analytical and quantitative skills, with experience working with large scale macroeconomic and market datasets
- Experience in econometrics and programming in Python and/or R for applied time-series analysis and forecasting
- Strong Excel skills for analysis and econometric and machine learning modelling
- High attention to detail and a structured, task-oriented approach to work
Desired
- Experience in a client-facing role, including responding to client queries and contributing to the development of commercial relationships
- Experience developing econometric and machine learning models for applying macroeconomic or market forecasts to assess business, sector, or market outcomes