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 in Toronto employer: BMO
BMO Financial Group is an exceptional employer, offering a dynamic work environment in the heart of Toronto where legal professionals can thrive. With a strong commitment to employee growth, BMO provides extensive training, mentorship, and opportunities for career advancement, all while fostering a culture of diversity and inclusion. Employees enjoy a comprehensive benefits package, including health insurance, tuition reimbursement, and retirement savings plans, making it a rewarding place to build a meaningful career.
