Python Developer - Risk (canada)

Python Software Developer - Front Office Risk Development Location: 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. #J-18808-Ljbffr