Build low-latency ETF trading algorithms at BMO in Toronto, applying Python or C++ and AI-assisted development across electronic markets.
As an ETF Algo Engineer, you will support BMO’s ETF Market Making team through production software engineering. Design pricing, quoting, execution, hedging, and inventory solutions while working with market data, trading protocols, and quantitative workflows. Your work spans ETFs, equities, futures, options, fixed income, and FX.
Key Responsibilities: Design and support low-latency ETF trading algorithms
Build systematic trading, pricing, and risk-management tools
Integrate exchange, broker, market-data, and RFQ connectivity
Measure latency, throughput, fill quality, and resiliency
Support production testing,



deployment, observability, and incident analysis
Requirements: Five to seven years of relevant experience
Production software engineering experience in Python and/or C++
Experience with electronic trading or low-latency systems
Knowledge of market data, order lifecycles, and FIX
Experience with Linux, testing, CI/CD, and observability
Apply software engineering, quantitative analysis, and trading knowledge to strengthen BMO’s ETF market-making technology in Toronto.

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📌 ETF Algorithm Engineer BMO (Ontario)
🏢 BMO
📍 Ontario