Quant Developer (Python, Market Risk)

Risk Analyst / Quant Developer (Python, Market Risk)

Duration: 12 months (extension possible)

Location: Toronto, ON (Hybrid – 4 days onsite)

Hours: 9–5, Monday–Friday

Overview

This role supports market risk analytics and application development within a capital markets environment. The position focuses on building and maintaining risk models and applications used to estimate P&L, while collaborating with quantitative, technology, and business teams.

Key Responsibilities

• Develop and maintain risk applications for P&L and market risk analysis
• Translate quantitative methodologies and business requirements into technical solutions
• Design, build, and test solutions within a big data environment (e.g., PySpark, HDFS)
• Perform validation and support UAT for risk models and applications
• Collaborate with IT and stakeholders on system enhancements and DevOps processes
• Support performance optimization and ongoing improvements
• Contribute to reporting, documentation, and process improvements

Must-Have Skills & Experience

• Strong Python development experience (finance/risk applications)
• 2+ years of capital markets experience (Market Risk, Product Control, or similar)
• Knowledge of derivatives pricing (FICC, equity, credit)
• Understanding of market risk concepts (VaR, ES, Greeks)
• Strong quantitative and analytical skills

Nice-to-Have

• Experience with big data tools (PySpark, Spark, HDFS, Scala)
• Exposure to AI/ML tools or frameworks (e.g., Copilot, RAG, transformers)

Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.