Associate – Front Office Quant Engineer

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

TD Securities

Pay Details:

$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.

Job Description:

TD 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.

Job Description

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.

Key Responsibilities

• •Design, develop, and maintain applications, services, and tools used by front-office trading and sales teams.
• •Act as a force multiplier for the trading and sales desks by delivering technology solutions that improve productivity, scalability, and business effectiveness.
• •Identify manual, repetitive, or operationally intensive workflows and implement automation solutions.
• •Develop AI-powered tools, prompt frameworks, intelligent agents, and workflow solutions that improve productivity and reduce operational burden.
• •Partner directly with traders, salespeople, and quants to understand business challenges and rapidly deliver solutions.
• •Build and maintain both frontend and backend applications, including user interfaces, APIs, data services, and analytics platforms.
• •Develop quantitative and analytical tools that support pricing, risk management, trade analysis, and business decision-making.
• •Work with pricing, risk, and market data models, ensuring a strong understanding of their assumptions, limitations, and practical implementation.
• •Integrate applications with market data, risk, trading, and reference data systems.
• •Design scalable, maintainable, and reliable systems suitable for a front-office environment.
• •Champion software engineering best practices, testing, code quality, and operational excellence.
• •Evaluate emerging technologies, including artificial intelligence and machine learning solutions, for practical application within the business.

Job Requirements

Technical Skills

• •Strong programming skills in Golang, Python, C++, JavaScript/TypeScript, and SQL.
• •Experience developing both frontend and backend applications.
• •Strong understanding of software architecture, APIs, distributed systems, and modern application design.
• •Comfortable working in Linux environments with strong command-line skills, including shell scripting, CLI-based tooling, and editors such as VIM.
• •Familiarity with databases, messaging systems, data-processing pipelines, and real-time applications.
• •Experience with source control, automated testing, CI/CD pipelines, and modern software development practices.
• •Experience leveraging AI tools, prompt engineering, large language models (LLMs), agentic workflows, and automation technologies.
• •Strong focus on user experience (UX) and building intuitive, highly effective business applications.

Quantitative and Financial Knowledge

• •Strong quantitative and analytical problem-solving skills.
• •Understanding of quantitative modeling concepts and the practical application of financial models.
• •Familiarity with option pricing, risk measurement, derivatives analytics, or related quantitative techniques.
• •Ability to understand, analyze, and work with pricing and risk models used within a trading environment.
• •Understanding of financial markets, capital markets products, and trading workflows.
• •Knowledge of equity derivatives, structured products, or related asset classes is preferred.

Professional Skills

• •Strong analytical and problem-solving abilities.
• •Excellent communication skills with the ability to interact directly with traders, salespeople, quants, and technology professionals.
• •Demonstrated ability to translate business requirements into practical technology solutions.
• •Ability to operate effectively in a fast-paced front-office environment.
• •Proven ability to identify inefficiencies and drive process improvements through technology, automation, and innovation.
• •Strong attention to detail and commitment to delivering high-quality solutions.
• •Ability to work independently, take ownership of initiatives, and deliver results with minimal supervision.
• •Curiosity and willingness to continuously learn new technologies, tools, and business concepts.

Preferred Qualifications

• •Undergraduate or postgraduate degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related quantitative discipline.
• •Experience in investment banking, capital markets, financial technology, electronic trading,