European Central Bank, Student Research Assistant Traineeship Programme – Financial Research
- Organizzazione
- ECB - European Central Bank
- Sede
- Frankfurt am Main, Germania
- Durata
- 6 mesi prorogabili fino a 12
- Indennità
- 1.170 euro mensili
- Benefit
- Indennità di alloggio
- L'offerta scade il
- 20/11/2026
- Area professionale
-
Economia e finanza Statistica/Data Analysis
Attività
In your role as a trainee Student Research Assistant, you will support our economists in their research and policy projects. Your tasks will typically consist of compiling and analysing cross-sectional, time series and panel datasets or developing, solving and estimating macro-financial dynamic stochastic general equilibrium (DSGE) models.
Your role
- constructing and maintaining financial, monetary and economic databases;
- presenting data in conjunction with basic economic and statistical analyses;
- developing mathematical, statistical and econometric procedures for use in research projects;
- supporting and maintaining software tools and hardware installations.
Depending on your areas of expertise, you will also conduct microeconometric and time series analyses or solve, calibrate and simulate DSGE models with banking and financial frictions.
Requisiti principali
Essential:
- a bachelor’s degree or higher in economics, statistics, finance, mathematics or a related field;
- experience in at least one of the following technical areas of expertise:
- compiling large cross-sectional datasets (e.g. financial transactions data, household or firm-level survey data, or bank/firm balance sheet data);
- microeconometric modelling (e.g. fixed and random effects estimation, difference-in-difference estimation, propensity score-matching estimation, event study analysis and structural methods);
- time series modelling (e.g. vector autoregression, state-space modelling and quantile regression);
- DSGE modelling (e.g. development, solution, calibration and estimation);
- in-depth knowledge of at least one of the following high-level programming languages: Stata, MATLAB, Python or R;
- a good knowledge of the MS Office package;
- an advanced (C1) command of English and an intermediate (B1) command of at least one other official language of the EU, according to the Common European Framework of Reference for Languages.
Desired:
- a master’s degree (or being close to completing a master’s degree) in economics, statistics, finance, mathematics or a related field;
- familiarity with financial data providers such as Orbis, Fitch Connect, S&P Capital IQ Pro, Dealogic, BankFocus, Bloomberg or LSEG Workspace;
- familiarity with macroeconomic and financial statistics as presented in international databases (e.g. the ECB Data Portal, ECB Household Finance and Consumption Survey, statistics provided by Eurostat and/or the Bank for International Settlements, International Monetary Fund International Financial Statistics);
- experience of artificial intelligence and machine learning techniques, including their application to economic and financial data analysis;
- familiarity with solving, calibrating and simulating DSGE models using perturbation or global methods in MATLAB and Dynare.
