Front Office Quantitative Developer
Job Location:
Monthly Salary:
Experience Required:
Posted:
Application Deadline:
Vacancies:
Job Summary
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 banks 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.
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).
Required Skills:
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).
