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Traineeship - Communications

TRAINEE | FULL TIME | Deadline: 13 Aug 2025

Deadline for application: 13 August 2025. The ESM is currently looking for a trainee to support the European Stability Mechanism (ESM) Communications team in its tasks over a minimum period of six months. The ESM Communications team is responsible for both internal and external communications, including serving as a contact point for journalists. Our team works mainly on speaking engagements, digital content creation for the ESM website, social media, and internal communications, and publications.

Experienced Financial Economist

STAFF MEMBER | FULL TIME | Deadline: 23 Jul 2025

Deadline for applications: 23 July 2025. The ESM is looking for an experienced Financial Economist to join our team of quantitative analysts, econometricians, and financial sector experts in the Financial Sector and Market Analysis division, part of the Chief Economist department at the European Stability Mechanism (ESM). The selected candidates will report to the Head of Financial Sector and Market Analysis division.

Financial Sector and Market Analysis Expert

STAFF MEMBER | FULL TIME | Deadline: 21 Jul 2025

Deadline for application: 21 July 2025. The Financial Sector and Market Analysis division of the Chief Economist department at the European Stability Mechanism (ESM) is seeking an expert in financial sector and market analysis to join its team. The selected candidate will report to the Head of Financial Sector and Market Analysis.

Asset Liability Management and Financial Structuring Traineeship

TRAINEE | FULL TIME | Deadline: 19 Aug 2025

Deadline for application: 19 August 2025. The ESM is looking for an Asset Liability Management and Financial Structuring Trainee (ALM and FS) to contribute to the high-quality monitoring and reporting of structural balance sheet risks (liquidity, interest rate, and foreign exchange) for the European Stability Mechanism (ESM) and its predecessor the European Financial Stability Facility (EFSF). The trainee will contribute to developing and using data science tools and data analytics and utilising financial quantitative data-driven solutions.