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Maarut
Front Office Quantitative DeveloperMaarut • Toronto, ON, ca
Front Office Quantitative Developer

Front Office Quantitative Developer

Maarut • Toronto, ON, ca
1 day ago
Job type
  • Full-time
Job description

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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Front Office Quantitative Developer • Toronto, ON, ca

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