- Entity
- Banco Central Europeo
- Application start date
- Application end date
You will be part of either the Financial Research Division or the senior management team in the Directorate General Research. Our team, which comprises around 25 economists conducting policy-relevant research on topics related to financial and monetary economics. We cover topical issues such as macro-financial linkages, the interaction between monetary and financial stability policies, financial innovations like fintech and digital currencies, and the financial implications of climate change.
Who can apply? EU nationals eligible for our traineeship programme
Grant The trainee grant is €1,170 per month plus an accommodation allowance (see further information section)
Working time Full time
Place of work Frankfurt am Main, Germany
Qualifications, experience and skills
- 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);
- time series modelling (e.g. vector autoregression, state-space modelling, 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, in particular Microsoft Excel and Access;
- 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.
- a master’s degree (or being close to completing a master's degree) in economics, statistics, finance, mathematics or a related field;
- familiarity with at least one of the following databases/data providers: Bureau van Dijk, Fitch Connect, SNL Financial, Dealogic, Bankscope, Bloomberg or Thomson Reuters Eikon;
- familiarity with macroeconomic and financial statistics as presented in international databases (e.g. the ECB Statistical Data Warehouse, ECB Household Finance and Consumption Survey, Eurostat, Bank for International Settlements, International Monetary Fund International Financial Statistics);
- experience in machine learning techniques;
- familiarity with solving, calibrating and simulating DSGE models using perturbation or global methods in MATLAB and Dynare.