Quantitative Developer - Montreal - Up to $260,000 CAD + Exceptional Bonuses/Benefits
Architect and build high-performance Python frameworks for front office risk and analytics. Collaborate with quants to implement sophisticated models into production-grade trading systems.
- Hybrid
- Montréal, QC
- Posted Sep 7, 2026
- Apply by Oct 7, 2026
- 1 position
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Job summary
Title: Quantitative Developer Client: Elite FinTech Start-Up Salary: Up to $260,000 CAD Starting Base + Bonus + Benefits Location: Montreal (Hybrid) The Opportunity: Step onto the trading floor and build the systems that move markets. Our client is searching for a sharp, creative developer to help engineer the next generation of front office risk and analytics. You’ll work side-by-side with traders and quants, turning cutting-edge ideas into ultra-fast, production-grade systems that power real-time pricing, risk, and trading decisions. If you want your code to have immediate, visible impact - this is it. Your Responsibilities (Full Spec. Available): Architect and build high-performance Python frameworks used directly by the front office Own the design and delivery of scalable pricing and risk systems Collaborate closely with quants to bring sophisticated models into production Optimise for speed, reliability, and precision in a real-time trading environment Who You Are: 6+ years of experience in Python or C++ within a rigorous, performance-sensitive environment Strong computer science fundamentals (degree ideally) Comfortable operating in a small, high-calibre team with significant ownership Pragmatic, detail-oriented, and able to engage with both technical and investment stakeholders Why This Role: Direct exposure to investment decision-making and portfolio risk Tight feedback loop between research, development, and trading Low bureaucracy, high accountability environment Unlimited comp upside - your impact matters! Sound like a good fit? Apply now or reach out directly: [email protected] for more details
What you’ll do
Architect and build high-performance Python frameworks for front office risk and analytics. Collaborate with quants to implement sophisticated models into production-grade trading systems.
Requirements
Requires over 6 years of experience in Python or C++ within performance-sensitive environments. A degree in Computer Science is ideally required along with the ability to engage with technical and investment stakeholders.
Benefits
• Bonuses • Benefits
Listed skills
- Risk ManagementPreferred
- C++Preferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- C++
- Quantitative Development
- System Architecture
- Risk Management
- Financial Analytics
- High-Performance Computing
- Scalable Systems
- Real-time Pricing
- Computer Science Fundamentals
Job areas
- Software
- Finance & Accounting
- Technology
- Engineering
- Data & Analytics
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 6+ years
- Apply by
- Oct 7, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available