• Support the monitoring and analysis of EFSF/ESM structural risks (liquidity, interest rate, and foreign exchange) and produce ALM reports.
• Use data modelling techniques to assist in computing, forecasting, and optimising costs and risks for the ESM/EFSF and its beneficiary Member States. 
• Contribute to updating and improving the team documentation.

Key Background & Experience

• Advance studies or a university degree or specialisation in a quantitative field (finance, economics, computer science, engineering, or mathematics or equivalent)
• Ability to leverage data analysis, statistics, and quantitative analysis
• Keen interest in financial data modelling, financial risk concepts, financial derivatives, and risk management techniques
• Ability to code in Python, R, VBA, or another programming language 
• Knowledge of relational databases (Microsoft SQL server, MySQL, SQLite) will be considered an asset
• GIT knowledge for code and control versioning would be an asset
• Experience with Microsoft Office Suite (Excel, Word, PowerPoint)
• Fluent oral and written communication skills in English
• Experience with business intelligence tools and concepts (Microsoft Power BI and/or Tableau) would be an asset.

Key Competencies

• Analytical and problem-solving skills
• Communication and interpersonal skills
• Team spirit and collaboration
• Inclusiveness and respect for diversity.