Python Developer

Python Risk Developer - Commodities / Front Office - Toronto - up to 130k CAD + c.30% bonus & benefits

Cititec Talent has partnered exclusively with a global commodities trading firm seeking a proficient Python Software Develope r 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 an amazing 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 experie nce, preferably with AWS
• Familiarity wi th containerization technolog ies (Docker, Kubernetes) for deploying scalable applications
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