Design, build, and support high-performance front-office trading, analytics, and visualization tools for global equity. Implement real-time volatility analytics, pricing and hedging utilities, corporate actions adjustments, and integrate applications with containerized back-end infrastructure. Work directly with traders, quants, and cross-functional engineering teams to meet production performance, reliability, and scalability, and troubleshoot production issues.
This is a remote position.
Role Overview:
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.
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.
Requirements
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).
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