Front Office Quantitative Developer

Maarut; Toronto; On-site; CAD 140,000 - 190,000; Full time

Job summary

Maarut is seeking a Senior Front-Office Quantitative Developer to design, build, and support trading, structuring, and sales tools for the Global Equity business. You will work hands-on across analytics and visualization applications, delivering production-grade software integrated with the bank's back-end infrastructure.

You will develop and maintain trading analytics applications and visualization tools, deliver high-performance real-time features for pricing and risk decisions, and

Qualifications

• 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.

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.

Skills

Python

C++

C#

Multi-threading

Low-latency

SOLID principles

OO design

Front-office interfacing

Education

Degree in Mathematics, Physics, Computer Science, Engineering, or equivalent quantitative discipline

Tools

Kafka

Solace

Docker

Kubernetes

Git

Job description

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).