Quant Research Engineer - Trading Systems (Hybrid, Montreal)

Hunter Bond; Montreal (administrative region); Hybrid; CAD 162,000 - 198,000; Full time

Job summary

Hunter Bond in Montreal (Hybrid) is seeking graduates for Quantitative Research roles. You will monitor trading strategies, analyze data, and build tools to support traders and researchers.

The role emphasizes collaboration, problem-solving across data and systems, and contributing to longer-term research projects. Ideal candidates hold a degree in Computer Science, Software Engineering, or Mathematics and show enthusiasm for technology and FinTech.

Qualifications

• A degree in Computer Science, Software Engineering, and or Mathematics
• Previous exposure to trading or FinTech is beneficial but not essential
• Genuine interest in technology and staying up to date with modern tools, frameworks, and best practices
• Strong communication skills and the ability to work collaboratively within a multidisciplinary team

Responsibilities

• Monitor systematic trading strategies and investigate unusual behavior, performance, or technical issues in live trading.
• Analyze and validate financial data, trades, and strategy outputs to identify discrepancies and understand what is happening in the market.
• Develop scripts and analytical tools to support traders and quantitative researchers, while improving the reliability and efficiency of trading processes.
• Troubleshoot issues across data, software, and trading systems, including investigating problems that arise during or after market hours.
• Contribute to longer-term projects involving strategy analysis, trading infrastructure, data, and quantitative research.

Education

Degree in Computer Science, Software Engineering, or Mathematics

Job description

Hunter Bond in Montreal (Hybrid) is seeking graduates for Quantitative Research roles. You will monitor trading strategies, analyze data, and build tools to support traders and researchers.

The role emphasizes collaboration, problem-solving across data and systems, and contributing to longer-term research projects. Ideal candidates hold a degree in Computer Science, Software Engineering, or Mathematics and show enthusiasm for technology and FinTech.