Senior Back-End Development (Derivatives/Capital Markets) | Remote - 1350

Senior Back-End Development (Derivatives/Capital Markets) | Remote - 1350 at gft in Brazil.

Responsibilities

• Develop, support and maintain Global Equity trading and analysis applications and visualization tools;
• Deliver flexible, high-performance applications to front-office groups, covering risk, analysis, pricing and hedging;
• Implement real-time volatility analysis flows to support pricing and risk management decisions;
• Build trading tools for pricing and marking parameters, used by traders and structurers;
• Design and develop a framework for adjusting corporate actions;
• Integrate applications with the central back-end infrastructure for containerization, messaging, databases and deployment;
• Interact directly with traders and front-office members to collect requirements and validate delivered solutions;
• Ensure that applications meet the performance, reliability and scalability standards required for trading environments;
• Collaborate with cross-functional engineering and quant teams to support end-to-end delivery of trading tools;
• Troubleshoot and resolve production issues affecting trading and analysis systems in a timely manner;

Requirements

What we look for

• Professional to work in the development, architecture and support of front-office quantitative applications, with a focus on trading and Global Equity analysis. The role involves delivering high-performance solutions and collaborating with stakeholders.
• Background in Mathematics, Physics, Computer Science, Engineering or equivalent quantitative discipline.
• Solid experience with equity derivatives, financial markets and trading environments.
• Strong practical experience with object-oriented languages such as Python, C# or C++ (Python and C# preferred).
• Proven experience in developing distributed applications and multi-threaded systems.
• Solid practical knowledge of design patterns and SOLID principles.
• Hands-on experience with CI/CD processes and version control tools.
• Experience with service-oriented architecture and messaging-based systems.
• Experience in integrating applications with back-end infrastructure for containerization, databases and deployment.
• Demonstrated ability to build and maintain high-performance, low-latency applications.
• Experience working directly with front-office stakeholders, such as traders and sales desks.

Differentiators

• Experience with volatility modeling or derivatives pricing libraries.
• Familiarity with cloud-native deployment and container orchestration (e.g. Kubernetes, Docker).
• Exposure to messaging technologies such as Kafka, Solace or similar.
• Experience with real-time data visualization frameworks.
• Prior experience in an investment banking or financial markets technology environment.
• Familiarity with processing corporate actions and reference data.
• Knowledge of additional programming languages (e.g. Java, R).