PhD traineeship in Macroprudential Policy and Financial Stability
Type of contract: PhD traineeship of between 3 and 12 months in total
Who can apply: EU nationals eligible for our traineeship programme
Salary: The PhD trainee grant is €1,940 per month plus an accommodation allowance.
Working time: Full-time
Place of work: Frankfurt, Germany
Closing date: Wednesday, 16 October 2019
You will be part of the Directorate General Macroprudential Policy and Financial Stability (DG/MF). Our Directorate General has approximately 100 staff members providing analyses and policy advice on issues relating to financial stability, financial regulation and macroprudential policy. In particular, we work on the identification and measurement of systemic risks, the assessment of the impact of regulations and macroprudential measures, policy strategy and coordination, and challenges facing the banking and non-banking sectors.
In the area of financial stability, we analyse developments in the banking sector and the broader financial system in the euro area from a systemic risk perspective. In the area of financial regulation, we monitor developments and analyse policy issues from a financial stability and financial integration perspective, contribute to international and EU-level debates, and assess the impact of post-crisis regulatory reforms.
In your role as a PhD trainee, you will be part of a team with approximately 20 members of staff responsible for policy relevant analysis on the issues outlined above. You will work closely with one or two experts, contributing to projects that are of relevance to the division you are assigned to.
The ECB is an inclusive employer and we strive to reflect the diversity of the population we serve. We encourage you to apply, irrespective of your gender, gender identity, ethnicity, sexual orientation, age, religion, disability or other characteristics.
Qualifications, experience and skills
a master’s degree, and at least two years of PhD studies, in the field of finance, economics, computer science, mathematics, physics, statistics, engineering or a related discipline;
a solid background in one or more of the following fields: macroeconometrics; financial instruments, institutions and markets; panel data econometrics; dynamic stochastic general equilibrium models; numerical techniques, mathematical optimisation models and/or computational economics; network analysis; banking theory; monetary economics; asset pricing; and/or corporate finance;
an advanced knowledge of programming languages and econometric software (e.g. R, MATLAB, Dynare, Python, Stata, SQL and/or EViews);
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.