You will provide support for the development and maintenance of systems to create our economic datasets. As the year progresses, there will be the opportunity for successful candidates to gain experience within areas related to their degree subject. Our students work closely with our experienced team of economists and take on some responsibility for analysis, country forecasting and econometrics. Our students have undertaken various projects in the past such as setting up economic models from scratch, working on data projects with economists and automating procedures. This role requires a close attention to detail.
Running and helping to trouble shoot problems with our industry and macroeconomic databases.
Assisting economists with document production.
Setting up project deliveries on an ad hoc basis.
Maintenance of ongoing systems
Forecasting (under the supervision of our economists) minor economies.
The successful candidates will have the following attributes:
a good grasp of economic theory;
expected grade of 2:1 or above;
experience using economic analysis and a variety of data in coursework;
good knowledge of Excel;
excellent written and verbal communication;
a good eye for detail; and
experience with the manipulation of datasets and software such as Access/Stata/E-views would be a plus.
This position is for Economics students who will have already completed two years of their degree when they start the placement. This role is not open to graduates.
Feedback from past placement students in Oxford:
‘I would encourage future students to apply because I have had an interesting and intriguing year where almost every day is different. I have learnt a vast amount of new skills that I will definitely apply to a future career path. Everyone at the company is extremely welcoming and makes you feel like a valued member of the team.’
‘My placement year in the data team has been great! You are given responsibility early on with client projects and are closely engaged with economists around the world. This is an ideal opportunity for anyone interested in economic modelling/forecasting and how various data platforms can be used to assess relevant business decisions.’
Click Apply Now (below) to upload your application form and cover letter.
Deadline for applications is: January 31st 2022.
Oxford Economics is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
About Oxford Economics
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 Belfast, Boston, Cape Town, Chicago, Dubai, Frankfurt, Hong Kong, Houston, Johannesburg, Los Angeles, Melbourne, Mexico City, Milan, Paris, Philadelphia, Sydney, Tokyo, and Toronto. We employ 400 full-time staff, including more than 250 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.