About this role
• 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. As a Senior Front-Office Quantitative Developer, you will design, build, and support trading, structuring, and sales tools for the Global Equity business. Working hands-on across analytics and visualization applications, you will deliver flexible, high-performance solutions for client-facing groups spanning risk and analytics, price discovery and quotation, and hedging. You will interface directly with traders and other front-office stakeholders, translating business needs into robust, production-grade software integrated with the bank's central back-end infrastructure. 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. Soft Skills • Strong communicator, able to translate front-office requirements into clear technical solutions. • Comfortable engaging directly with traders and sales in a fast-paced, deadline-driven environment. • Analytical and detail-oriented, with strong problem-solving skills under pressure. • Collaborative team player able to work effectively across quant, engineering, and trading functions. • Proactive and self-driven, with a strong sense of ownership from design through production support. • Adaptable to shifting priorities within a dynamic trading environment. Preferred Qualifications / 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).