Key Skills

Job Description

This position is based at our Luxembourg headquarters and requires regular office presence. The EIB offers you the opportunity to live and work in a truly international and multi-cultural environment. We also offer relocation support. The EIB, the European Union's bank, is seeking to recruit for its Finance Directorate (FI), Planning and Settlement of Operations Department (PRO), Transaction Processing Borrowing and Treasury Division (TPBT), Money and Securities Markets Unit (MSM) at its headquarters in Luxembourg, an Associate Transaction Processing & Digital Transformation Officer*. This is a full-time position at grade 4 for which the EIB offers a permanent contract. internal benchmark Associate Officer Transaction Processing & Management Panel interviews are anticipated for November/December. Purpose You will contribute to the timely and accurate processing of financial transactions, ensuring the Bank meets its commitments while effectively managing operational and settlement risks in a high-volume, high-criticality environment, while supporting in parallel the transformation of the back office by leveraging data, automation, AI and emerging technologies such as Distributed Ledger Technology (DLT), contributing to more efficient, resilient and future-proof financial operations processes. Operating Network The Division is composed of two teams (the Borrowings and Derivatives Market Unit – BDM – and the Money and Securities Market Unit – MSM), operating as a pool of competencies combining operational expertise with emerging data and technology capabilities. You will report to the Head of Unit, and autonomously execute key processes of various complexities, ensuring the overall quality of the unit’s output and compliance with the Bank’s policies and processes. This involves high volumes, tight deadlines and significant operational risk exposure in a financial operations processing environment. The current context involves an accelerating transformation of back-office activities through the adoption of automation, AI/ML, RPA and DLT-based settlement models, requiring closer integration between operations, data and technology. There is also an increasing focus on data quality, process standardisation and straight-through processing to enhance efficiency and resilience. This role involves close interaction with Front Office, Risk, Legal, IT and Data functions, as well as involvement in cross-functional innovation and transformation initiatives. You will bring a data-driven and technology-oriented perspective to traditional operational activities as the role combines solid financial markets transactional expertise with a growing focus on data analysis, innovation and technology adoption. It is designed as a profile combining financial operations with data and analytical capabilities, contributing to the evolution of the back office towards a more automated, intelligent and scalable operating model. Accountabilities Transaction Processing & Controls (Core Back Office) Execute end-to-end processing of Borrowings, Treasury and Derivatives transactions. Ensure timely confirmations, settlements and lifecycle event management. Perform controls to reduce operational, financial and reputational risk. Monitor and resolve breaks, settlement failures or discrepancies in a timely manner. Contribute to the continuous improvement of control frameworks, particularly in increasingly automated environments. Data Analysis & Process Improvement Analyse operational data (breaks, volumes, settlement performance) to identify inefficiencies and improvement opportunities. Apply analytical techniques (trend analysis, pattern recognition, basic statistical methods) to support decision-making. Develop and maintain dashboards, reports and KPIs to monitor performance and operational risk. Increase straight-through processing (STP) and reduce manual intervention through data-driven insights. Automation, AI & RPA Contribute to the identification, design and implementation of automation initiatives (e.g. reconciliation, matching, workflow optimisation). Explore and prototype data-driven and AI solutions (e.g. anomaly detection, document processing, decision support tools). Validate and challenge outputs of automated and AI solutions from a business, risk and control perspective. Contribute to the prioritisation of use cases for automation and AI deployment in transaction processing and settlement activities Emerging Technologies & DLT Contribute to the analysis and implementation of DLT-based settlement and post-trade solutions. Support integration of new settlement models (e.g. tokenised assets, atomic settlement concepts) into existing processes Assess operational impacts of DLT and evolving market infrastructures. Monitor developments in post-trade innovation and assess their relevance for the Bank’s operational model. Act as a point of contact between operations and innovation initiatives in this space. Business Analysis & Requirements Translate operational and regulatory needs into clear, structured business requirements. Contribute to process mapping, documentation and optimisation initiatives. Support implementation of new tools, digital workflows and system upgrades. Risk Management & Problem Solving Analyse and resolve issues under time pressure in a structured manner Identify root causes and contribute to the implementation of sustainable solutions Strengthen control frameworks, particularly in automated, AI-driven or DLT-based processes. Contribute to enhancing operational resilience and risk monitoring capabilities. Collaboration & Knowledge Sharing Work closely with Front Office, Risk, Legal, IT, Data and Innovation teams on operational and transformation topics. Share knowledge within the team and support colleagues. Actively develop expertise in financial operations, data science and emerging technologies through continuous learning. Contribute to cross-functional transformation and innovation initiatives across the Bank. Qualifications University degree (minimum an equivalent to a Bachelor) preferably in Finance, Mathematics, Engineering, Data Science or equivalent. Additional relevant postgraduate studies or professional qualification would be considered as an advantage. Minimum 3 years of relevant experience, ideally in Treasury/Derivatives, preferably in Middle or Back Office of Financial Institution, or equivalent. Good understanding of financial products (bonds, derivatives, repos, etc.). Good knowledge of SWIFT messaging and settlement processes. Strong analytical mindset and ability to work with operational and/or financial datasets. Exposure to automation tools, workflow engines or process optimisation techniques. Exposure to AI or data science use cases (e.g. anomaly detection, classification, document processing, basic predictive analytics), through academic or professional experience. Understanding of distributed ledger/blockchain concepts and their potential application in post-trade and settlement environments. Hands-on experience (academic or professional) with data analysis or programming tools such as Python, SQL or equivalent, and data visualisation tools (e.g. Power BI or similar) will be an advantage. Knowledge and/or experience of/in project management would be considered an advantage. Excellent knowledge of English and/or French (***) with a good command of the other. Knowledge of other EU languages would be an advantage. Competencies Find Out More About EIB Core Behavioural Skills Here To find out more about our eligibility criteria click here (***) Unless stated explicitly as a required qualification, a good command of French is not a pre-requisite for hire. As both English and French are however official working languages of the EIB, proficiency in both languages is a pre-requisite for your future career development. Any language clause in your contract must be fulfilled in order for you to be eligible for a promotion (either via the annual appraisal cycle or via an internal selection process). Proficiency is understood to mean the attainment of level 5 of the Inter Institutional language courses, corresponding to B1.2 of the Common European Framework of Reference for Languages (CEFRL). The Bank offers appropriate training support. We hire and value talent with unique characteristics, creating a work environment where they can be themselves. We believe that Diversity, Equity and Inclusion makes us a performing and innovative organisation. We encourage all suitably qualified and eligible candidates to apply regardless of their gender identity/expression, age, racial, ethnic and cultural background, religion and beliefs, sexual orientation, disability or neurodiversity. If you require reasonable accommodation during the recruitment process due to a disability, neurodivergence, or a chronic health condition, please contact the EIB Recruitment team [email protected] who will manage your request appropriately. By applying for this position, you acknowledge the importance of maintaining the security and integrity of the Information of the EIB Group. In case of selection for the position, you agree to comply with all measures (policies, controls, document classification and management) implemented by the EIB Group to prevent unauthorised disclosure of any information or any damage to the EIB Group reputation. Deadline for applications: 19th of October 2026

Core Responsibilities

Process borrowing, treasury, and derivatives transactions end to end, ensuring accurate confirmations, settlements, lifecycle management, and effective operational controls. Analyze operational data and contribute to automation, AI, and distributed-ledger initiatives that improve efficiency, resilience, and settlement processes.

Requirements

Requires a university degree equivalent to at least a bachelor’s, preferably in finance, mathematics, engineering, or data science, and at least three years of relevant experience. Candidates should understand financial products, SWIFT and settlement processes, and have analytical capabilities; exposure to automation, AI, DLT, and data tools is also sought or advantageous.

Benefits

• Relocation Support