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Similar roles pay $105K - 190K a year · our estimate
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Sign Up to ReadTD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience.
With more than 6,900 professionals operating out of 32 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment banks.
We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day.
Business Unit Overview
The Quantitative Engineering and Development (QED) team is a front-office quantitative technology and analytics group within TD Securities that supports the Global Equity Derivatives business. The team develops and enhances pricing models, risk analytics, trading tools, and automation solutions that enable efficient execution, risk management, and client service across a broad range of derivatives products. Working at the intersection of quantitative finance, software engineering, and capital markets, QED partners with trading, sales, structuring, and technology teams globally to deliver innovative solutions that advance the firm's analytical capabilities and support business growth.
Global Equity Derivatives (GED) is seeking a highly motivated Front Office Quant Engineer to design, develop, and maintain technology solutions that enhance the productivity and effectiveness of our trading and sales teams.
This role sits directly within the front office and focuses on building automation, workflow solutions, analytics platforms, and intelligent systems that streamline day-to-day business activities. The successful candidate will work closely with traders, salespeople, quantitative analysts, and technology teams to identify opportunities for automation and deliver scalable solutions that improve decision-making and operational efficiency.
The Front Office Quant Engineer will serve as a force multiplier for the trading and sales desks, leveraging technology, automation, quantitative analysis, and AI-driven solutions to enable business users to focus on higher-value activities while reducing manual effort, operational complexity, and time-to-market.
The role combines software engineering, quantitative analysis, and financial markets expertise. While the primary focus is technology development and process automation, the successful candidate must possess a solid understanding of quantitative methods, financial modeling concepts, and derivatives products. The individual should be comfortable working with existing pricing and risk models, developing analytical tools, and contributing to model-related initiatives when needed.
Toronto, Ontario, Canada
Hours:
5
Line of Business:
TD Securities
$100,000 - $135,000 CAD
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
From the office
TD Bank
Offices in Toronto, Canada, Canada
Also hiring in New York, United States, Charlotte, United States, United States and 5 more places
2 of their 118 open roles are remote
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