Financial Sector and Market Analysis Trainee

Deadline for application: 7 September 2026. We are looking for candidates pursuing, or recently graduated from, a master’s or PhD programme to assist the Financial Sector and Market Analysis division within the Chief Economist’s department of the European Stability Mechanism (ESM). The Financial Sector and Market Analysis division plays a key role in the design and implementation of analytical tools that support the ESM’s mandate. The team provides financial stability risk analysis at both euro area and country level, as well as technical advice on regulatory and policy matters related to the euro area financial sector and its member states. It monitors financial sector developments and market activity of both bank and non-bank financial institutions, along with related indicators. It also supports country monitoring with financial sector analysis and assists other divisions in responding to financial assistance requests by assessing potential financing needs and sectoral weaknesses relevant to conditionality setting. PURPOSE OF THE TRAINEESHIP This role will provide the opportunity to acquire practical experience and knowledge of the day-to-day work of the different business areas within a multilingual and multicultural environment. You will be introduced to the professional world and the constraints, duties, and opportunities therein. While working closely with experienced professionals you will gain hands-on experience and develop skills in applied economic analysis, data analysis, and modelling. You will be assigned to ongoing analytical projects, including a novel workstream to deepen the analysis of macro-financial linkages, and will support the team in collecting, cleaning, and analysing data. Your colleagues within the institution will assist you in your duties and offer opportunities to interact with external stakeholders. KEY ACCOUNTABILITIES Assist in compiling, managing, and analysing large macro-and microeconomic datasets. Code to extract, transform, and load data from various data sources. Support in conducting econometric analysis. Assist in presenting findings in internal notes, presentations, or seminars. EDUCATION AND OTHER RELEVANT EXPERIENCE Candidate for or recent graduate (under one year since graduation) holding a master’s degree in data science, statistics, finance, economics, or a related field. PhD students must be within a year or two of completing a PhD and hold active student status within the aforementioned fields. Fluency in English, both oral and written, is required. Applicants should demonstrate good understanding and ability to apply: Panel data econometrics Python for data acquisition, transformation, and analysis, including accessing data from external databases and APIs Statistical/econometric modelling packages, such as Python, R, Stata, for model estimation, hypothesis testing, and visualisation Power BI and dashboard design principles KEY COMPETENCIES Strong analytical and technical skills Excellent written and verbal communication abilities Flexibility and results-orientated approach Intellectual curiosity and eagerness to learn Problem-solving skills and creativity Positive team spirit and adaptability Proactive attitude and self-organised APPLICATION PROCESS AND PRACTICAL INFORMATION Deadline for application: 7 September 2026 Expected start date: as soon as possible Expected duration: at least six months, renewable once for up to another six months Competitive allowance granted. Place of the traineeship: Luxembourg Current working arrangements: possibility to work remotely, usually up to two days a week, from Luxembourg and the border region (or from further away under certain conditions). The ESM aims to provide equal opportunity to all candidates irrespective of their gender, nationality, age, race, culture, education, religious beliefs, sexual orientation, or disability. To further enhance the diversity of our workforce, we particularly encourage women to apply. Note: The ESM reserves the right to refrain from hiring, or to slightly modify job responsibilities, as needed.