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 workplace.

- Familiarity with corporate actions processing and reference data.

- Knowledge of additional programming languages (e.g., Java, R).

📌 Quantitative Developer (Toronto)
🏢 Maarut
📍 Toronto