Build front-office automation and analytics at TD Securities in Toronto, using quantitative engineering and software development to support trading and sales teams.

As a Front Office Quantitative Engineer, you will work within Quantitative Engineering and Development supporting Global Equity Derivatives. You will combine quantitative analysis, financial modeling, and software engineering across business workflows. The position involves collaborating with traders, salespeople, quantitative analysts, and technology specialists to deliver scalable solutions.

Key Responsibilities:
Develop applications, services, and tools for trading and sales teams
Automate repetitive workflows and reduce operational effort
Build frontend, backend, API, and analytics applications
Develop tools supporting pricing, risk,



and trade analysis
Evaluate artificial intelligence and machine learning solutions

Requirements:
Programming skills in Golang, Python, C++, JavaScript, TypeScript, and SQL
Experience developing frontend and backend applications
Understanding of software architecture, APIs, and distributed systems
Knowledge of quantitative modeling and derivatives analytics
Undergraduate or postgraduate degree in a quantitative discipline preferred

Apply quantitative engineering, automation, and software development skills to improve front-office productivity at TD Securities.
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📌 Front Office Quantitative Engineer Toronto (Canada)
🏢 The Toronto-Dominion Bank (Canada)
📍 Canada