RAD Developer

About the Role

We are looking for a hands-on RAD Developer to build and enhance Front Office applications supporting global trading and capital markets businesses. This role involves close collaboration with traders business users and technology teams to rapidly deliver scalable high-quality solutions in a fast-paced environment.

Key Responsibilities

• Design develop and maintain Front Office trading applications using Java and Python.
• Work directly with traders and business stakeholders to understand requirements and deliver rapid technology solutions.
• Develop applications supporting trade processing positions PnL risk reporting and workflow automation.
• Participate in all phases of the software development lifecycle from requirements gathering through deployment and production support.
• Troubleshoot production issues and implement timely fixes to ensure system stability.
• Optimize application performance scalability and reliability.
• Drive projects independently while managing multiple priorities and tight deadlines.
• Collaborate with global technology teams to deliver strategic enhancements.

Requirements

• Bachelors degree in Computer Science Engineering Mathematics Statistics or a related discipline.
• Strong programming experience in Java and/or Python.
• Solid SQL and database development experience.
• Hands-on experience across the full software development lifecycle.
• Experience working in a Rapid Application Development (RAD) environment.
• Good understanding of financial markets trading workflows and trading data flows.
• Experience working within buy-side or sell-side financial institutions.
• Strong knowledge of data structures algorithms and software engineering best practices.
• Excellent analytical troubleshooting and problem-solving skills.
• Comfortable working directly with business users in a Front Office environment.
• Strong ownership accountability and the ability to work independently.
• Excellent verbal and written English communication skills.

Preferred Qualifications

• Experience building enterprise-scale trading or financial applications.
• Front Office investment banking technology experience.
• Knowledge of derivatives Prime Brokerage securities financing or equity trading workflows.
• Experience with event-driven architectures messaging systems or distributed applications.
• Exposure to Data Science AI or machine learning technologies.
• Experience with Docker Jenkins Git Kafka Redis or cloud technologies is advantageous.