Murex Front Office Support

Responsibilities

• Provide L2 production support for Murex 3.1 and front-office trading, risk, and market data applications.
• Investigate and resolve production incidents, perform troubleshooting, root-cause analysis, and implement permanent fixes.
• Prioritize production break-fix activities, service improvements, and business-critical issues.
• Monitor batch processes, ensure SLA/OLA compliance, and assess the business impact of failures.
• Minimize application and infrastructure risks while ensuring system stability, performance, and capacity.
• Use SQL to investigate data issues, perform reconciliations, and support business operations.
• Maintain application documentation, architecture diagrams, data flows, deployment guides, known errors, and disaster recovery procedures.
• Follow ITIL practices, incident and change management processes, access controls, and security policies.
• Support business continuity planning (BCP) and crisis management activities.
• Collaborate with technical teams and business stakeholders to resolve issues and manage expectations.
• Explore AI tools such as Microsoft Copilot, GitHub Copilot, and automation solutions to improve support efficiency.

Requirements

• Minimum 4+ years of relevant IT experience, preferably in financial markets or banking technology.
• Hands-on experience in Murex Front Office Support, preferably Murex 3.1.
• Strong understanding of financial markets, trading environments, risk management, and operational processes.
• Experience supporting business-critical trading platforms such as Murex or comparable front-to-back trading systems.
• Familiarity with Bloomberg, Reuters, or other financial market data and trading platforms.
• Strong production support skills, including incident management, troubleshooting, and root-cause analysis.
• Hands-on SQL skills and understanding of databases, data processing, and system integrations.
• Knowledge of ITIL, SLA/OLA management, incident management, and change management.
• Exposure to AI, machine learning, Microsoft Copilot, or data analytics tools is an advantage.
• Strong communication, stakeholder management, and problem-solving skills, with the ability to work under pressure.