Student Research Assistant Traineeship Programme – Senior Management Macro-Finance Team | The European Central Bank
General Information
Type of contract Traineeship
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), The trainee grant is €2,120 per month plus an accommodation allowance (see further information section)
Working time Full time
Place of work Frankfurt am Main, Germany
Closing date 06.01.2026
Your team
Your role
- produce simulations using macro-finance models, including New Keynesian DSGE models with financial frictions;
- maintain and further develop existing quantitative tools and modelling infrastructure;
- further develop macroeconomic DSGE models to assess macroprudential and monetary policy interactions and their effectiveness;
- develop macroeconometric models to empirically assess the propagation of economic and financial shocks;
- help prepare quarterly policy analyses on monetary policy and financial stability.
Qualifications, experience and skills
- for a traineeship paid at €2,120, a master’s degree and at least two years of PhD studies in economics, finance, statistics, mathematics or computer science, or a related field;
- for a traineeship paid at €1,170, a bachelor’s degree in economics, finance, statistics, mathematics, computer science or a related field;
- experience in simulating macroeconomic DSGE models using Dynare;
- strong programming skills in MATLAB;
- good understanding of macro-finance models;
- good knowledge of the MS Office package;
- advanced (C1) command of English and intermediate (B1) command of at least one other official language of the EU, according to the Common European Framework of Reference for Languages.
- for a traineeship paid at €1,170, a master’s degree in economics, finance, statistics, mathematics, computer science or a related field;
- sound knowledge of monetary DSGE models with financial frictions;
- good knowledge of model calibration/estimation techniques (Bayesian methods or the simulated method of moments) using macroeconomic, banking and financial data;
- knowledge of non-linear solution methods for dynamic models (e.g. perfect foresight transitions, function approximation, quadrature, numerical optimisation, higher order perturbation, value function iteration, continuous time methods, sequence space methods);
- further programming skills in addition to the above (e.g. Python, parallel computing, symbolic maths);
- some experience with macroeconomic data and macroeconometric models;
- experience assisting with research.
Further information
Application and selection process
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