Transaction Processing Officer - based in Luxembourg

The Transaction Processing Officer will contribute to the timely and accurate processing of financial transactions, ensuring the Bank meets its commitments while managing operational and settlement risks. The role also supports back office transformation through data, automation, AI, and emerging technologies such as Distributed Ledger Technology (DLT).

Responsibilities

• Execute end-to-end processing of lending portfolio transactions.
• Ensure timely confirmations, settlements and lifecycle event management.
• Perform controls to reduce operational, financial and reputational risk.
• Contribute to the continuous improvement of control frameworks, particularly in increasingly automated environments.
• 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.
• 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 analysis and implementation of DLT-based settlement and post-trade solutions.
• Assess operational impacts of DLT and evolving market infrastructures.
• Act as a point of contact between operations and innovation initiatives in this space.
• 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.
• Strengthen control frameworks, particularly in automated, AI-driven or DLT-based processes.
• Contribute to enhancing operational resilience and risk monitoring capabilities.
• Work closely with Front Office, Risk, Legal, IT, Data and Innovation teams on operational and transformation topics.
• Contribute to cross-functional transformation and innovation initiatives across the Bank.

Requirements

• University degree (minimum an equivalent to a Bachelor) preferably in Finance, Mathematics, Engineering, Data Science or equivalent.
• Additional relevant postgraduate studies or professional qualifications would be considered as an advantage.
• Minimum 5 years of relevant experience, ideally in Middle or Back Office of Financial Institution, or equivalent.
• Good understanding of financial products and loan documentation.
• Strong analytical mindset and ability to work with operational and/or financial datasets.
• Exposure to automation tools, workflow engines or process optimization techniques.
• Exposure to AI or data science use cases (e.g. anomaly detection, classification, document processing, basic predictive analytics), through academic or professional experience.
• Hands-on experience (academic or professional) with data analysis or programming tools such as Python, SQL or equivalent, and data visualization 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.

Skills

• Financial Product Knowledge
• Loan Documentation
• Operational Risk Analysis
• Financial Data Analysis
• Process Optimization
• Automation Tools
• Workflow Engines
• AI Use Cases
• Data Science Applications
• Anomaly Detection
• Classification techniques
• Document Processing
• Predictive Analysis
• Python Programming
• SQL
• Data Visualization
• Power BI
• Project Management
• Distributed Ledger Technology

Languages

English, French