How do I apply for the PhD Traineeship in the Market-based Finance Division position at European Central Bank and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at European Central Bank paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the PhD Traineeship in the Market-based Finance Division role?

This position is a full-time, structured as a on-site role, with an expected duration of 6 months.

What educational background or degree level is required for the PhD Traineeship in the Market-based Finance Division at European Central Bank?

Candidates are generally expected to be holding or pursuing the following degree levels: Master, PhD.

Does European Central Bank provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

PhD Traineeship in the Market-based Finance Division

European Central Bank

Found 4 weeks ago

Location

Frankfurt am Main, Germany

Duration (Months)

6 Months

Time

Full-time

Work Mode

On-site

Salary

€2,120 per month

Visa Help

Not disclosed

Last Verified

4 weeks ago

Education

Master
PhD

Skills & Qualifications

Technical Skills

Python
R
SQL
PySpark
MATLAB
Stata
MS Office package
financial instruments
institutions
markets
financial sector analysis
policy
regulation
panel data econometrics
numerical techniques
mathematical optimisation models
computational economics
network analysis
corporate finance
big data management
data science

Soft Skills

analytical
research
Curious
eager to learn
ability to analyse complex information
collaborate with others
pursue team goals
learn from other people’s diverse perspectives
anticipate stakeholder needs
motivated to contribute to the ECB’s mission
serve the citizens of the EU
work with colleagues from all over Europe

Job Description

You will be part of the Market-based Finance Division in the Directorate General Macroprudential Policy and Financial Stability. Our Directorate General has more than 100 staff providing analyses and policy advice on issues relating to financial stability, non-bank financial intermediation, financial regulation and macroprudential policy. The Market-based Finance Division assesses and mitigates the systemic risks arising from the activities and behaviour of non-bank financial intermediaries. We also monitor financial stability risks in financial markets, coordinate the Directorate General’s market intelligence activities and improve understanding of how market-based finance interacts with monetary policy. In your role as a PhD trainee, you will be part of a team of approximately 20 members of staff responsible for policy-relevant analysis, model development and the coordination of the ECB’s views on the issues mentioned above.

Requirements

a master’s degree and at least two years of PhD studies in finance, economics, statistics, mathematics, physics, engineering, computer science or a related field
a sound background in (including an analytical or research project on) one or more of the following areas: financial instruments, institutions and markets; financial sector analysis, policy and/or regulation; panel data econometrics; numerical techniques; mathematical optimisation models; computational economics; network analysis; corporate finance; big data management; and data science
a good knowledge of one or more programming languages and/or econometric software (e.g. Python, R, SQL, PySpark, MATLAB, Stata)
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

Finance and Banking

Corporate Finance

Languages

English
German

Nice to Haves

experience working with large granular datasets
combining different data sources
drawing information from complex financial and real sector data
knowledge of at least one of the tasks listed in the “Your role” section above

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