Risk Developer
2 months ago
Python Risk Developer
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.
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