Summary
✨ AI‑Generated
A quantitative development role focused on high-performance applications for global financial markets. You will build real-time analytics and trading tools, integrate systems with modern infrastructure, collaborate directly with trading professionals, and ensure reliability and scalability for live environments.
Highlights
Hands-on opportunity to build high-performance trading and analytics applications, work directly with front-office professionals, and solve challenging real-time pricing and risk problems.
Description
Key Responsibilities
Develop, support, and maintain Global Equity trading and analytics applications and visualization tools in a hands-on capacity.Deliver flexible, high-performance applications for client-facing groups such as trading and sales, covering risk and analytics, price discovery and quotation, and hedging.Implement real-time volatility analytics flows to support pricing and risk-management decisions.Build trading tools for pricing and parameter marking used directly by traders and structurers.Design and develop a corporate actions adjustment framework.Integrate applications with central back-end infrastructure for containerization, messaging, databases, and deployment.Interface directly with traders and front-office members to gather requirements and validate delivered solutions.Ensure applications meet performance, reliability, and scalability standards required for live 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 analytics systems in a timely manner.Required Skills & Qualifications (Must-Have)Degree in Mathematics, Physics, Computer Science, Engineering, or an equivalent quantitative discipline.Solid background in equity derivatives, financial markets, and trading environments.Strong hands-on experience with object-oriented languages such as Python, C#, or C++ (Python and C# preferred).Proven experience developing distributed applications and multi-threaded systems.Strong working knowledge of design patterns and SOLID principles.Practical experience with CI/CD processes and version control tools.Experience with service-oriented architecture and messaging-based systems.Experience 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.
Nice-to-Have
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 within an investment bank or financial markets technology environment.Familiarity with corporate actions processing and reference data.Knowledge of additional programming languages (e.g., Java, R).
