Senior Risk Data Scientist — Quant Analytics & Python

TMX Group; Montreal (administrative region); Hybrid; CAD 90,000 - 150,000; Full time

Job summary

TMX Group is seeking a risk-focused software engineer to design core Python libraries and robust risk calculation applications. The role blends quantitative finance with software engineering, delivering scalable models and reliable outputs.

You will work on advanced data science for equities, fixed income, and derivatives, while collaborating on containerization, performance optimization, and production readiness with CI/CD best practices.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• 3–5 years bridging finance and programming; data science in financial risk management.
• Advanced Python proficiency with OOP, Pandas, NumPy; SQL and databases; Git and SDLC practices.

Responsibilities

• Design, develop, and maintain foundational Python libraries for core financial logic and risk models.
• Build risk calculation applications using core libraries and ensure scalable data outputs for reporting.
• Apply quantitative techniques to equities, fixed income, derivatives, and structured products.
• Collaborate to containerize applications, optimize performance, and follow CI/CD practices.
• Create and maintain comprehensive documentation and mathematical flowcharts.

Skills

Python

OOP

Pandas/NumPy

SQL

Git

SDLC

Education

Bachelor's degree in CS/Engineering/Math

Master's in Financial Engineering/Data Science

Tools

Jira

Confluence

Docker

Nexus

LaTeX

Job description

TMX Group is seeking a risk-focused software engineer to design core Python libraries and robust risk calculation applications. The role blends quantitative finance with software engineering, delivering scalable models and reliable outputs.

You will work on advanced data science for equities, fixed income, and derivatives, while collaborating on containerization, performance optimization, and production readiness with CI/CD best practices.