ALM and Financial Structuring Officer- Temporary/Interim

We are looking for a an Asset Liability Management and Financial Structuring Officer (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), as well as the analytical input for strategic institutional decision making. The role requires the use of data science tools and data analytics to develop, maintain, and utilise financial quantitative data-driven solutions. The selected person is expected to design and automate quantitative and reporting tools on key structural risk metrics. The successful candidate will report to the Head of ALM and Financial Structuring. 

KEY ACCOUNTABILITIES

• Monitor and analyse EFSF/ESM structural risks (liquidity, interest rate, and foreign exchange) and produce ALM reports.
• Define appropriate strategies and instruments to mitigate risks arising from the EFSF/ESM’s liquidity profile.
• Use data modelling techniques to compute, forecast, and optimise costs and risks for the ESM/EFSF and its beneficiary Member States.
• Refine existing quantitative models and, if required, build new ones to efficiently and reliably forecast and measure the liquidity positions of EFSF/ESM or other financial risks.
• Contribute to ALM’s advisory role by informing ESM management on main financial risk factors impacting EFSF/ESM balance sheets.
• Support liquidity and collateral management by estimating potential future exposure for a derivatives portfolio using different analytical techniques.
• Work closely with various internal divisions to integrate multiple layers of information to produce critical ESM strategic advice to support senior management.

KEY BACKGROUND & EXPERIENCE

• University degree or specialisation in a quantitative field (finance, economics, computer science, engineering, or mathematics or equivalent)
• Strong aptitude for data, statistics, and quantitative analysis
• Knowledge of financial data modelling, financial risk concepts, financial derivatives, and risk management techniques
• Capacity to code in Python, R, VBA, or another programming language 
• Knowledge of relational databases (Microsoft SQL server, MySQL, SQLite) 
• GIT knowledge for code and control versioning
• Experience with Microsoft Office Suite (Excel, Word, PowerPoint)
• A professional qualification, such as FRM, CFA, CQF or similar would be an asset
• Excellent oral and written communication skills in English
• Experience with business intelligence tools and concepts (Microsoft Power BI and/or Tableau)

KEY COMPETENCIES

• Analytical and problem-solving skills
• Critical thinking and innovative mindset
• Communication and interpersonal skills
• Resilience, flexibility, and ability to adapt to changes
• Team spirit and collaboration
• Inclusiveness and respect for diversity
• Developing self and others

APPLICATION PROCESS AND PRACTICAL INFORMATION

• Deadline of publication: 03 October 2024
• Expected start date: as soon as possible
• Contract type: interim contract
• Contract duration: six months, with possibility of extension up to 12 months in total

The ESM aims to provide equal opportunity to all candidates irrespective of their gender, nationality, age, race, culture, education, religious beliefs, sexual orientation or disability. To further enhance the diversity of our workforce, we particularly encourage women to apply.

Note 1: The ESM reserves the right to refrain from hiring, or to slightly modify job responsibilities, as needed.

Note 2: As a result of the selection process, please note that you may be placed on a ‘reserve list’ valid for a duration of six months during which you might be considered for a similar position with a similar level of requirements. Only those candidates who have been notified will be placed on the ‘reserve list’. After this period, you will need to apply again for our vacancies to be considered for a different selection process.