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Oxford Economics seeks an experienced Economist as part of our expanding Macroeconomic Modelling and Scenarios team. The position will be based in either our company headquarters in Oxford or our central London office. Most of the team’s projects involve working extensively with Oxford Economics’ proprietary Global Economic Model (GEM), the most widely used commercial large-scale macroeconomic model in the world. The majority of the team’s clients are banks and other financial institutions who require analysis of alternative outcomes for the global economy. Our model allows us to develop detailed macroeconomic scenarios for purposes such as strategic planning, risk analysis, or stress testing. The team also supports financial sector clients with bespoke asset return modelling to inform their asset allocation strategies and leads on the company’s research around the macroeconomic impacts from climate change.
Job Responsibility:
Working with the GEM to produce regulatory stress tests and economic scenarios for a variety of use-cases
Writing up scenarios or economic research under one of our subscription services such as the GSS - or for consultancy projects
Developing bespoke models and forecasts for our clients, to support with their business planning or asset allocation decisions
Giving overview presentations to prospects about the GEM, the team’s subscription-based products and our wider scenarios and modelling capabilities
Contributing and implementing ideas that will improve the GEM
Managing client queries regarding our modelling and scenario analysis
Requirements:
2+ years of work experience as an economist or a related field
A strong education in Economics to at least an undergraduate level. A postgraduate degree in Economics is highly desirable
Ability to demonstrate a good understanding of current economic and policy challenges facing the global economy
Excellent analytical and quantitative skills
Excellent written and verbal communication, with the ability to explain economic concepts to a diverse audience, including non-specialists
Ability to work effectively in teams across different offices and to tight deadlines
Nice to have:
Previous experience in using applied macroeconomic models for forecasting and/or scenario analysis would be advantageous
Knowledge of statistical modelling software (such as EViews, Python, R and/or Stata) is desirable
What we offer:
Fast career progression
On-the-job training and access to external training courses