Senior Python Engineer - Quant Research Platforms

Stir Consulting Inc.; Toronto; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

A consulting firm specializing in quantitative research is seeking a Senior Python Developer to join their team in Toronto, Canada. In this role, you will design and deliver high-performance applications while collaborating closely with quantitative researchers and data engineers. The ideal candidate has strong proficiency in Python, experience with frameworks like Flask or Django, and a passion for creating scalable tools that empower investment strategies in a hybrid work environment.

Benefits

Competitive compensation

Performance incentives

Growth opportunities

Flexible hybrid work environment

Qualifications

• 5+ years of professional software development experience, ideally in a data-driven or research-intensive environment.
• Strong proficiency in Python, including frameworks such as Flask or Django.
• Advanced SQL skills and experience with relational database design and optimization.
• Hands-on experience in front-end technologies HTML, CSS, JavaScript, and modern frameworks (React, Angular).
• Excellent communication and collaboration skills.

Responsibilities

• Develop and maintain full-stack web applications with responsive front-end interfaces.
• Translate quantitative models and analytics into production-ready tools.
• Enforce best practices in code quality, version control, and secure development.
• Support the software development lifecycle from design to deployment and support.

Skills

Python

Flask

Django

SQL

HTML

CSS

JavaScript

React

Angular

Azure services

Education

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field

Tools

Git

Azure Databricks

Azure Data Storage

Delta Lake

Azure Key Vault

Job description

A consulting firm specializing in quantitative research is seeking a Senior Python Developer to join their team in Toronto, Canada. In this role, you will design and deliver high-performance applications while collaborating closely with quantitative researchers and data engineers. The ideal candidate has strong proficiency in Python, experience with frameworks like Flask or Django, and a passion for creating scalable tools that empower investment strategies in a hybrid work environment.