Industrial placement 21/22 - Forecasting teams and modelling and scenarios team
We have a fantastic opportunity for hard-working economics students to join our forecasting teams in our London office on a one-year industrial placement. Positions are available within the macroeconomic, industry, macro scenarios and cities forecasting teams.
Placements students will support economists with the production of subscription services and consultancy projects, which will provide an in-depth knowledge in the practical use of statistical software, the MS Office software suite, mapping software, and other data software as well as valuable and practical knowledge related to the application of economics to real world questions.
Key responsibilities include:
updating and maintaining economic datasets;
forecasting (under the supervision of our economists);
data analysis and report drafting;
supporting ongoing or new macroeconomic research projects;
assist in the production of macro scenarios analysing key upside and downside risks to the global economy.
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;
excellent written and verbal communication;
a good eye for detail;
strong knowledge of Excel; and
experience with the manipulation of datasets; software such as Access/Stata/Eviews and programming languages 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.
Click Apply Now (below) to upload your application form and cover letter.
Deadline for applications is: November 30th 2020.
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.