Python Quantitative Developer - Hybrid Working - $140,000 - $250,000 CAD Base (+ Bonus)

Job Description

<p>Job title: Python Quantitative Developer</p><p>Client: Elite Fintech Trading Firm </p><p>Salary: $140,000 - $250,000 CAD Base (+ Bonus)</p><p>Location: Montreal (Hybrid)</p><p><br></p><p><b>The role:</b></p><p>My client are seeking a talented Python Quantitative Developer to help build their next generation trading libraries. The existing team consists of some of the brightest minds hailing from a range of backgrounds (Big tech, Start-ups etc), all striving to build the next generation of performance technology.</p><p><br></p><p>As a Python Quantitative Developer, you will work across a range of projects, within which you will get end to input on design and development as well as research projects and releases. This is an extremely tech focused organisation who are looking for the next wave of tech driven, entrepreneurial personalities to help expand the team.</p><p><br></p><p><b>Benefits:</b></p><ul><li>Generous benefits and bonus package - Market Leading!</li><li>Excellent career progression and the ability to learn from some of the best developers, researchers and traders on the planet.</li><li>The opportunity to work with tech years ahead of competitors!</li></ul><p><br></p><p><b>You will have:</b></p><ul><li>3+ Years experience as a Quantitative Developer (or related field like Software Engineering)</li><li>3+ Years experience using Python, Linux and Git</li><li>C++ experience is advantageous</li><li>Experience working with highly distributed, robust and scalable systems</li><li>Strong understanding of high level system design</li><li>Strong academic background</li><li>A curious and tech driven personality and a willingness to learn!</li></ul><p><br></p><p><b>Responsibilities: </b></p><ul><li>Develop and maintain research platforms, building Python-based tools and libraries for backtesting strategies, analyzing data, and simulating trading logic to support quant researchers.</li><li>Implement quantitative models and signals, translating trading ideas or academic models into production-ready Python code, ensuring reproducibility, performance, and alignment with real-world trading constraints.</li><li>Automate data pipelines, designing and managing workflows for collecting, cleaning, and storing large volumes of financial data (e.g., price, volume, fundamentals, alternative data), often using tools like Pandas and NumPy.</li><li>Collaborate across teams for deployment, working with researchers, traders, and DevOps teams to integrate Python models into production environments (e.g., through APIs, microservices, or containerized systems like Docker).</li></ul><p><br></p><p>If you are a Quantitative Developer or Software Engineer with an interest in Quant Development, please apply directly or email for more information.</p>