Python Software Engineer (Fintech)

TL;DR

Python Software Engineer (Fintech): Designing and developing Python-based research platforms, tools, and libraries for backtesting, simulation, and strategy analysis with an accent on building robust, production-grade software to support AI and Machine Learning models. Focus on implementing quantitative models, automating data pipelines for large-scale financial datasets, and deploying Python systems into production environments.

Location: Montreal, Canada (Hybrid)

Salary: Up to CAD $250,000 Base + Bonus

Company

hirify.global is an elite fintech trading firm with a technology-driven team building next-generation trading and research platforms.

What you will do

• Design and develop Python-based research platforms, tools, and libraries for backtesting, simulation, and strategy analysis.
• Build robust, production-grade software to support AI and Machine Learning models.
• Implement quantitative models and signals, translating research ideas into performant, maintainable Python code.
• Design and automate data pipelines for large-scale financial datasets using tools such as Pandas and NumPy.
• Collaborate with researchers, traders, and DevOps teams to deploy Python systems into production (APIs, microservices, containerised environments).

Requirements

• 3+ years’ experience as a Python Software Engineer or in a closely related role.
• Strong commercial experience with Python, Linux, and Git.
• Experience building distributed, scalable, and robust systems is preferred.
• Solid understanding of high-level system design and architecture.
• Strong academic background in a STEM discipline.
• A curious, technology-driven mindset with a strong desire to learn and improve.

Culture & Benefits

• Market-leading compensation and bonus structure.
• Opportunity to work with technology years ahead of competitors.
• Exceptional career progression and learning opportunities from elite engineers, researchers, and traders.
• Highly technical, low-bureaucracy environment with strong engineering ownership.
• Exposure to a wide range of quantitative strategies and trading systems.