PhD Traineeship in the Sector Accounts and Fiscal Statistics Section

at  The European Central Bank

Frankfurt am Main, Hessen, Germany -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate25 Jul, 2024Not Specified24 Jun, 2024N/ANational Accounts,Economic Statistics,Applied Research,R,Financial InstrumentsNoNo
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Description:

General Information
Type of contract PhD traineeship
Who can apply? EU nationals eligible for our traineeship programme
Grant 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 25.06.2024
Your team
You will be part of the Sector Accounts and Fiscal Statistics Section in the Directorate General Statistics. The Section has around 18 staff and is primarily responsible for developing, compiling and disseminating financial and non-financial sector accounts for the euro area and government finance statistics. We collect, validate and disseminate related data on EU Member States and other national accounts items such as GDP. We also provide services to users of sector accounts and fiscal statistics and coordinate the ECB’s contribution to further developing and harmonising such data, both at EU level and on a global scale.
The Section is currently working to develop new financial accounts products. In your role you will work closely with colleagues from across the ECB, as well as with national central banks, Eurostat, national statistical offices and the international statistical community.
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 age, disability, ethnicity, gender, gender identity, race, religious beliefs, sexual orientation or other characteristics.
Your role

As a PhD Trainee in the Sector Accounts and Fiscal Statistics Section you will:

  • contribute to developing and producing distributional financial accounts for the euro area by linking microdata from the Eurosystem’s Household Finance and Consumption Survey to household macrodata included in the financial accounts, as well as by investigating potential additional household data sources;
  • prepare documents for meetings with experts from national authorities;
  • develop and refine methods used to estimate distributional financial accounts;
  • maintain and improve the code used to produce distributional financial accounts (which is programmed with R);
  • liaise with those colleagues from the ECB and the European System of Central Banks responsible for analysing data to explain the compilation process and assist with specific investigations;
  • carry out a study of distributional wealth accounts and present the results at an internal seminar and/or to experts from national authorities.

This position will offer you excellent opportunities to take part in conceptual, methodological and operational work on statistics in a policymaking institution. You will work independently under the guidance of a mentor and be part of a multicultural team that strives for continuous innovation to make a positive impact on the lives of European citizens.
Qualifications, experience and skills

Essential:

  • a master’s degree and at least two years of PhD studies in the field of economics, econometrics, statistics, mathematics, social sciences or another relevant field;
  • a proven ability to code using R, Python, MATLAB, Stata or another programming language;
  • experience dealing with large and complex datasets, such as survey data or microdata;
  • 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:

  • knowledge of national accounts (financial and/or non-financial) or related economic statistics (e.g. monetary, financial and external statistics or household surveys), and experience using such data in applied research or analysis;
  • knowledge or experience of financial instruments and/or statistical methods, such as statistical modelling and inference or data extrapolation methods;
  • experience using R for analytical purposes;
  • good drafting skills and the ability to explain complex concepts in non-technical terms.

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.
You are motivated to contribute to the ECB’s mission, to serve the citizens of the EU as a member of a public institution and to work with colleagues from all over Europe. You are keen to be part of our team and to use your skills and competencies to achieve the aims of this position.
Further information
Initial PhD traineeship of 6 months, with a possible extension to up to 12 months in total.
Other details on the conditions applicable to traineeships at the ECB can be found on our website.
For additional information on this specific vacancy, you can speak to Linda Kezbere on +49 (0)69 1344 8837 between 12:00 and 13:00 on Wednesday, 26 June.
Application and selection process
The recruitment process for this position will include a remote written exercise in the pre-selection phase and – if you are invited to participate in the subsequent selection phase – an online interview.
Further information on how to apply is available on our website.
If you are not selected for this position but are still considered suitable, you will be placed on a reserve list for 12 months from the closing date for applications, from which you might be considered for other traineeship positions within the ECB.

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Financial Services

Accounts / Finance / Tax / CS / Audit

Accounts Management

Graduate

Proficient

1

Frankfurt am Main, Germany