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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