Research Assistant In Economics / Marketing / Finance

IESE Business School is committed to the development of leaders who aim to have a deep, positive and lasting impact on people, firms and society through professional excellence, integrity and spirit of service. IESE attracts and develops talented professionals to run its diverse programs. IESE's people live the school's mission on a day-to-day basis, maintaining the institution as one of the top business schools in the world. IESE focuses on principles in the workplace that help cultivate an atmosphere of professionalism, integrity, service and respect and believes that organizations are communities of people.Research Assistant (RA) will work independently and in collaboration with IESE Professors in research projects in the areas of economics / finance / marketing. RA will have 1 weekly meetings and energetic interactions with IESE Professors. The RA is not expected to be expert in all areas, rather will receive regular guidance and training from the Professor.Broadly, the candidate should be interested in working in: analyzing "big data", online and social platforms, working with leading retailers in Europe, machine learning packages, econometric tools, GEO location data, consumer behavior experiments.The candidate should enjoy writing in English. Many projects are more intensive in writing (and less intensive in computer programming).The research is expected to be published in leading academic Journals, providing the RA with first-hand experience working from the start to the end with academic projects.Degree in Economics or Marketing or Engeneering or Operations or Computer Science. Students doing /finishing a Masters degree and planning to pursue a PhD are particularly encouraged to apply.Experience with Stata and/or R and/or Python. Excellent knowledge in at least one of those is required.Candidates interested in obtaining a PhD in Economics / Finance / Business / Marketing are encouraged to apply. Please mention this in the letter!Experience with data analysis, econometric analysis, machine learning, is a PLUS. High level of spoken and written EnglishConditionsSept 24End date1 year with the possibility of extensionCONTACTInterested parties please send CV, academic transcript and a 200-words cover letter (indicating why they are interested) in English to:
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