Engineer performance-sensitive trading systems at BMO’s ETF Market Making team, focusing on C++, market data, and production diagnostics.
This ETF Algo Engineer position combines software engineering with quantitative trading knowledge across electronic execution workflows. Develop reusable services, desk tools, and scalable platform enhancements for pricing, order management, risk controls, and automation. Use AI-enabled tools throughout implementation, testing, documentation, and quality improvements.
Key Responsibilities: Develop reusable trading services and desk tools
Create simulation, replay, monitoring, and diagnostic capabilities
Optimize latency, throughput, markouts, and quote performance
Enable new ETFs, venues, workflows,



and asset structures
Translate desk priorities into reliable production solutions
Requirements: Five to seven years of relevant experience
Robust Python and/or C++ production development experience
Fluency across programming languages, APIs, and data formats
Experience analyzing large market and trading datasets
Sound judgment using AI-assisted development tools
Bring performance analysis, electronic trading expertise, and disciplined engineering to BMO’s scalable ETF technology platform.

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📌 Low Latency Trading Systems Engineer (Ontario)
🏢 Bank of Montreal
📍 Ontario