European Central Bank: PhD traineeship in the field of macroprudential policy and financial stability

November 28, 2017

PhD traineeship in the field of macroprudential policy and financial stability

Reference:
2017-275-TRA
Type of contract:
PhD Traineeship of between 3 and 12 months in total.
Who can apply:

EU nationals that are eligible according to our traineeship programme: (Read more)

Salary:
The PhD trainee grant is €1,900 per month plus an accommodation allowance.
Working time:
Full-time
Place of work:
Frankfurt, Germany
Closing date for applications:
Thursday, 7 December 2017

Your team

We are looking for PhD trainees who want to become part of a multicultural team that strives for continuous innovation to make a positive impact in the life of European citizens through its contributions in the fields of macroprudential policy and financial stability. 

You will be part of the Directorate General Macroprudential Policy and Financial Stability (DG/MF). Our Directorate has approximately 100 staff members providing analyses and policy advice on issues relating to macroprudential policies, financial stability, financial regulation and financial stability arrangements. In particular, we are working on identifying and measuring systemic risks, assessing the impact of regulations and macroprudential measures and responding to the 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 and the European Union (EU) from a systemic risk perspective. In the areas of financial regulation and financial stability arrangements, we monitor developments and analyse relevant policy issues from a financial stability and financial integration perspective. In relation to macroprudential policies, we are responsible for preparing European Central Bank (ECB) macroprudential policy decisions and liaising with ECB Banking Supervision and the ECB’s decision-making bodies, as well as with the relevant national and international authorities. To this end, we also provide information and background studies that support and inform the corresponding policy processes. We also support the activities of the European Systemic Risk Board and contribute to policy discussions at the European and international levels.

To further enhance the diversity of our team, we particularly encourage applications from female candidates. 

Your role

As a PhD trainee you will be entrusted with a project in one of the following areas: 

Developing systemic risk indicators and early warning systems, and modelling macro financial linkages

  • The aim of these projects is to contribute to the further development of the analytical toolkit for measuring and assessing systemic risk in various parts of the financial system. This refers both to the time series dimension (such as macro-feedback effects, the bank-sovereign nexus or the pro cyclicality of the financial sector) and to the cross-sectional dimension (such as risks related to interconnectedness, common exposures, too-big-to-fail externalities, implicit guarantees, contagion and spillover effects), including the measurement of banks’ systemic footprint and modelling of risk in the banking sector (e.g. profitability, asset quality, risk-taking);

Macroprudential policy assessment and calibration
  • These analytical projects contribute to the assessment of macroprudential tools and their calibration and to the development of the tools for activating and calibrating macroprudential instruments. This includes, in particular, time series analysis, microeconometrics, the use of microeconomic data to analyse macro-financial aggregates, network analysis, agent-based modelling and the development of networks linking balance sheet items of individual financial institutions to sectors, countries or financial markets.

Regulatory impact assessments and interactions between regulations
  • These projects aim to empirically assess the impact of regulatory requirements – in particular the reforms following the financial crisis – on banks’ intermediation activities and financial sector outcomes. Additional topics of interest include the impacts on bank lending, the real economy and market liquidity and the interaction between micro- and macroprudential instruments and between prudential and monetary policy.

Developing models to identify and assess systemic risk stemming from the non-banking sector
  • The purpose of these projects is to develop tools to identify and monitor financial stability risks stemming from non-banks and from market activities such as derivatives and securities financing transactions, focusing on how these transactions can contribute to excessive risk taking and leverage and on how they influence asset liquidity.


As a PhD trainee in DG/MF you will discover the business area through different tasks and projects. You will be assigned your own supervisor but you will be expected to use your own initiative and work in a largely autonomous way to complete your project. You will be able to develop your potential, gain an overview of all of the tasks performed by the Directorate General and may occasionally also contribute to its regular work. You will also have access to the ECB’s library, as well as computing, programming and statistical resources

Qualifications, experience and skills

Essential:

  • a PhD-level qualification, or be close to completing a PhD, in finance, economics, computer science or a related discipline;
  • a sound background in macroeconometric, panel econometric and/or dynamic stochastic general equilibrium (DSGE) models, as well as advanced knowledge of numerical techniques, mathematical optimisation models and/or computational economics;
  • advanced knowledge of programming languages and econometric software (e.g. R, MATLAB, C++, Dynare, Stata and/or EViews);
  • knowledge of at least one of the areas of focus of the analytical projects;
  • an mastery-level command of English and an intermediate command of at least one other official language of the EU.

Desired:
  • advanced knowledge of network analysis, or agent-based models;
  • experience of working with financial and real sector databases

You are curious and eager to learn, and want to further develop your ability to analyse complex information. You are keen to collaborate with others, pursue team goals and learn from other people’s diverse perspectives. You strive to know and anticipate stakeholder needs, and will signal any need for change and propose alternative solutions.

Services * .wne.uw.edu.pl use cookies stored on users' computers. They are necessary for the proper operation of mechanisms websites Faculty of Economic Sciences.

Detailed information on cookies Operating Policy, University of Warsaw in services are available on http://cookies.uw.edu.pl/