Bse Research Assistant Part-Time Project Esg And Mutual Fund Competition 25 Hours/Week

Organisation/Company Barcelona School of Economics Research Field Economics » Financial science Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 15 Nov ***:59 (Europe/Andorra) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 25 Offer Starting Date 1 Dec Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number CEX***-S Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Prof. Javier Gil-Bazo is looking to hire a research assistant to work with him at the Barcelona School of Economics on a project studying how sustainable investing influences competition in the mutual fund market.
This project tests whether investors' heterogeneous sustainability preferences weaken competition among ESG mutual funds. Using data on U.S. and European equity funds, we examine whether ESG funds show greater dispersion in performance, lower exit rates when they underperform, and lower average managerial skill than conventional funds.
The candidate will be supervised by Prof. Javier Gil-Bazo The successful applicant should have graduate-level training in econometrics, ideally but not necessarily familiarity with financial data, and experience handling large datasets in Stata, R, or Python. The role is full-time for two months.
The applicant will join a vibrant Economics community in Barcelona and have opportunities to get involved with the academic life at the Barcelona School of Economics.
This is a 3-month position starting on December .
The annual gross salary is **€.
The project is one of the BSE Seed Grants , one of the initiatives of the Severo Ochoa accreditation, supported by the Agencia Estatal de Investigación (AEI) through the Severo Ochoa Program: Grant «Excelencia Severo Ochoa» CEX***-S funded by MICIU/AEI/**/**/.
Master's or PhD student in finance or economics
Strong analytical skills and particularly in econometrics
Proficiency in programming languages (Stata, R, or Python)
Experience cleaning and managing large panel datasets
Familiarity with financial data(a plus)
Spanish working permit (recommended)
Strong problem-solving skills and a solution-oriented approach to data issues
Rigorous attention to detail and careful documentation of code and data work
Highly self-motivated, able to work independently and meet deadlines within a short contract
Collaborative and able to communicate progress clearly to the research team
Willingness to learn new tools and data platforms
Availability to work full-time for two months
Languages ENGLISH Level Good
Research Field Economics » Financial science Years of Research Experience None
Additional Information
Hands-on experience in empirical finance research
Training in Morningstar Direct, a leading database of mutual fund data
Close collaboration with senior researchers at UPF and the Barcelona School of Economics
Exposure to the full research process, from building a dataset to econometric analysis
Eligibility criteria
Based on Programming Skills (50%), Experience (20%) and Qualifications and Skills/Knowledge of the area (30%)
Selection process
Shortlisted applicants will be contacted via email to arrange an online
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