BSE Research Assistant part-time Project \"Networked Markets: How Market Structure Shapes Prices, Liquidity, and Allocation\" (25 hours/week)

Barcelona School of Economics; España; Teletrabalho; EUR 20 000 - 24 000; Tempo parcial

Resumo da oferta

Barcelona School of Economics seeks a Research Assistant to join a project on how market structure and network frictions shape prices, liquidity, and allocation in financial markets. You will work on the empirical side, review literature, gather data samples, and document results under the supervision of Prof.

Gabriela Stockler. The role prefers a Master’s or PhD in economics/finance with econometrics training and programming in Stata, R, or Python.

Qualificações

• Master’s or PhD in economics/finance or related quantitative field.
• Solid training in econometrics.
• Programming experience in Stata, R, or Python with large datasets.
• Clear written English and ability to work independently.

Responsabilidades

• Review recent empirical literature on decentralized markets and networks.
• Conduct hands-on empirical work with financial data, including data collection and cleaning.
• Document data and produce descriptive statistics; run simple analyses.
• Collaborate with PI and join Barcelona School of Economics community.

Conhecimentos

Programming in Stata/R/Python

Econometrics

Data cleaning/documentation

Analytical skills

Spanish work permit (recommended)

English writing fluency

Interest in finance and empirical work

Experience with AI tools for empirical

Formação académica

Master’s or PhD in economics/finance or related quantitative field

Ferramentas

Stata

R

Python

Descrição da oferta de emprego

Organisation/Company Barcelona School of Economics Research Field Economics Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 15 Nov 2026 - 23:59 (Europe/Andorra) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 25 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number CEX2024-001476-S Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Prof. Gabriela Stockler is looking to hire a research assistant to work with her at the Barcelona School of Economics on a project studying how market structure and network frictions shape prices, liquidity, and allocation in financial markets.

Specifically, the project studies how trading networks and intermediaries shape market outcomes in decentralized financial markets, such as those for bonds and derivatives.

The Research Assistant will work on the empirical side of the grant. The role does not involve theoretical work.

The candidate will be supervised by Prof. Gabriela Stockler. The successful applicant should have a Master’s or PhD degree (completed or in progress) in economics, finance, or a related quantitative field, solid training in econometrics, programming experience in Stata, R, or Python (including work with large datasets), and clear written English.

S/he should also have a genuine interest in finance and empirical research, be curious, and be able to work independently. Experience with financial databases or network analysis, and some knowledge of AI tools for empirical work (for example, to find data or to speed up coding), are valued but not required.

The work has two main components. The first is a review of the recent empirical literature on decentralized markets, trading networks, and intermediation, together with the search for relevant data sources. The second is hands-on empirical work with financial data, which includes potentially collecting, cleaning, and documenting data, producing descriptive statistics, and running simple analyses. The specific datasets, tasks, and methods will be defined with the PI as the project advances.

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 two month position starting on December 1st, 2026. The annual gross salary is 22.020€. (reference for full-time RA).

The project is one of the BSE Seed Grants 2026, 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» CEX2024-001476-S funded by MICIU/AEI/10.13039/501100011033/.

• Programming experience and proficiency in Stata, R, or Python, including work with large datasets
• Ability to clean, document, and analyze data in a replicable way
• Analytical skills
• Solid training in econometrics
• Spanish working permit (recommended)
• Valued, not required: experience with financial databases (for example WRDS, TRACE), familiarity with network analysis, and some knowledge of AI tools for empirical work

Specific Requirements

• Genuine interest in finance and empirical research.
• Highly self-motivated and able to take initiative without much supervision
• Curious, rigorous, and attentive to detail when handling data
• Able to work independently and take initiative, and to raise problems early
• Reliable in written communication (including reproducible code), with a short weekly report to the PI.
• Ability to meet the PI at least once a week, remotely or in person

Languages ENGLISH Level Excellent

Research Field Economics » Financial science Years of Research Experience None

Additional Information

• Close collaboration with the PI
• Direct exposure to the empirical research process, from data sourcing to first results
• Flexible, mostly remote work

Eligibility criteria

Programming and data skills (40%), qualifications and knowledge of the area (20%), experience (30%), and motivation and ability to work independently (10%).

Selection process

Additional comments

Position reference: SG2026-14 Research Assistant

When the application period ends, the selection committee will select the candidates that meet the selection criteria. Shortlisted applicants will be contacted via email to arrange an online