Middle Office Analyst - International Operations

About the role

Deutsche Bank is looking for a Middle Office Analyst for its International Operations Hub in Barcelona. The role supports one of the Group's most renowned European branches through trade control, transaction monitoring and seamless processing, working with local and global teams. It is a full-time, on-site position with a Monday to Friday schedule, 9:00 a.m. to 6:00 p.m.

Key responsibilities

• Manage post-trade activities, including corporate events, pricing controls, reconciliations, regulatory reporting and the booking of cash and a broad range of financial products.
• Oversee payment flows and control incoming and outgoing transfers to ensure timely and accurate execution.
• Monitor transactions throughout their lifecycle, ensuring accurate processing, timely escalation and compliance with internal controls.
• Perform reconciliations, investigate and resolve breaks to keep records accurate and reduce operational risk.
• Review pricing and transaction data, identify issues and support stakeholders across Front Office and partner teams.

Required profile

• Experience in banking operations or Middle Office functions is a plus, together with knowledge of investment products, trade lifecycle processes, settlement and cash management.
• Strong analytical, organizational and problem-solving skills, with the ability to manage competing priorities and meet tight deadlines.
• Proactive, detail-oriented, able to work across teams and identify process improvements.
• Well-being and benefits are offered, including mental health support, health care offerings, flexible working time models, paid and unpaid leave, pension contribution plans and employee banking services.

Required skills

• High level of English, as English is the official working language on site; additional languages are a plus.
• Proficiency in Microsoft Office, particularly Excel and PowerPoint, for reporting, analysis and presentations.
• Ability to use AI tools to improve productivity and optimize workflows, with responsible and ethical use of data and AI outputs.