Python Developer (Risk)

Front Office

Commodities Trading

Toronto, Canada

Our client, a leader in the financial services sector, is seeking a proficient Python Software Developer to join their front office risk team. This role focuses on developing critical risk management tools, including building Value-at-Risk (VaR) engines and position management systems from the ground up. This is a high-impact, mid-level position that will enable you to contribute to a range of risk-related applications and analytics in a front-office environment.

Responsibilities

• Design, develop, and implement advanced Python applications and tools for front office risk management, specifically VaR engines, risk systems, and position management tools.
• Collaborate closely with traders, quantitative analysts, and other key stakeholders to gather and understand business requirements, ensuring solutions align with front-office risk management needs.
• Engage in the entire software development life cycle , from requirement gathering and system design to coding, testing, deployment, and ongoing maintenance.
• Optimize application performance and ensure system reliability for critical risk-related applications.
• Apply best practices in software engineering, including code reviews, version control, and automated testing to deliver efficient, maintainable, and scalable applications.

Technical Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong Python programming skills , with a focus on performance optimization and handling large data sets.
• Knowledge of quantitative finance concepts like VaR, risk metrics, and portfolio analysis.
• Experience with front-office environments in financial services is highly desirable.
• Proficiency in SQL and familiarity with relational databases (e.g., PostgreSQL).
• Knowledge of FastAPI and Pandas for data handling and API development.
• Understanding of multithreading and asyncio for high-performance computing.
• Cloud development experience , preferably with AWS.
• Familiarity with containerization technologies (Docker, Kubernetes) for deploying scalable applications.

Preferred Experience

• Prior exposure to financial services, ideally within a front-office risk or trading context.
• Understanding of trading and risk management workflows, with experience building applications used directly by trading and risk management teams.