Research Associate, Quantitative Research Team - TD Asset Management

TD; Toronto; Presencial; CAD 110.000 - 150.000; Jornada completa

Descripción de la vacante

TD Asset Management (TDAM) is seeking a Research Associate to join its Quantitative Research team in Montreal or Toronto. You will develop, test, and maintain alpha models for equity returns using advanced statistical methods and machine learning.

You will collaborate with data, portfolio, and risk teams and contribute to client reporting and new product development. The role emphasizes strong teamwork, effective communication, and the ability to perform under pressure in a fast-paced

Formación

• Master or PhD in Finance, Economics or related quantitative field (e.g., MSc, MBA, MA).
• Excellent programming skills using Python and related packages.
• Working knowledge of agentic AI systems to automate workflows and aid decision-making.
• Ability to write complex queries to extract data from SQL servers.
• Strong knowledge of financial markets, especially equities.
• Solid knowledge of stochastic calculus, time series, probability theory, and statistics.

Responsabilidades

• Apply predictive factor modeling, time series forecasts, or deep learning to build equity return forecasting models.
• Test, document, and vet models per regulatory and audit requirements.
• Monitor model performance across strategies under varying market conditions.
• Review and update alpha models as needed.
• Collaborate with data, portfolio, and risk teams to resolve issues with alpha models.

Conocimientos

Master/PhD in Finance/Quantitative

Python programming

Agentic AI systems

SQL querying

Financial markets knowledge

Statistics/Stochastic calculus

Educación

Master or PhD in Finance/Quantitative field

Herramientas

MATLAB

R

SQL Server

VS Code

GitHub

Descripción del empleo

Work Location:

Montréal, Quebec, Canada

Hours:

37.5

Line of Business:

TD Wealth

Pay Details:

$110,000 - $150,000 CAD

This role is eligible for a discretionary variable compensation award that considers business and individual performance.

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 Asset Management (TDAM), a member of TD Bank Financial Group, is a leading North American investment manager offering progressive investment solutions to both institutional and individual investors. For over two decades, the organization has established competitive market positions in active, quantitative, and passive portfolio management. As of December 31, 2025, TDAM and its affiliates manage over $508 billion in assets on behalf of pension, insurance, endowment/foundation, and corporate clients, as well as high-net worth clients and retail mutual funds.

In attaining this client commitment, TDAM has built one of Canada’s largest and most respected investment management and research teams with more than 220 Portfolio Managers, Associate Portfolio Managers, Traders and Analysts.In attaining this client commitment, TDAM has built one of Canada’s largest and most respected investment management and research teams with more than 220 Portfolio Managers, Associate Portfolio Managers, Traders and Analysts.

TD Asset Management is looking for a Research Associate tojoin our Quantitative Research team in Montreal or Toronto. The candidate will be responsible for the research, development, testing, implementation, and the maintenance of the quantitative equity return forecasting (alpha) models. They will also potentially assist the risk forecasting process, the development of new products and the client reporting. The candidate will use a variety of quantitative techniques: from traditional statistical methods to factor modeling and advanced machine learning. The role requires strong teamwork and the ability to perform effectively under pressure in a fast-paced, working environment with attention to details.

Responsibilities:

• Apply specialized skills and fundamental data science methods such as predictive factor modeling, time series forecast or deep learning, to build new equity returns forecasting models.
• Properly test, document, and vet the models as per regulatory and audit requirements.
• Continuously monitor the model performance for each strategy based on market conditions.
• Periodically review the existing alpha models and make changes if necessary.
• Work closely with the data team, portfolio managers, and risk management team to investigate and fix issues with the alpha models as an important component in the quant investment process.
• Support the client portfolio and relationship management teams for ad-hoc analysis.
• Make internal or external presentations to colleagues, consultants, and clients.
• Write research articles or white papers.

Job Requirements

We are looking for a recent university graduate with a strong technical and quantitative expertise, a propensity for teamwork, and a demonstrated ability to communicate effectively.

The ideal candidate will have the following:

• Master or Ph. D in Finance, Economics or in a related quantitative field such as Mathematics, Statistics, Data Science, Physics, Engineering, etc. (e.g., MSc, MBA, or MA).
• Excellent programming skills using Python and related packages.
• Working knowledge of agentic AI systems, including the ability to design, deploy, and effectively leverage AI agents to automate workflows, support decision-making, and enhance productivity.
• Ability to write complex queries to extract and transform data from a SQL server.
• Strong knowledge of financial markets, especially equities.
• Solid knowledge of stochastic calculus, time series, probability theory, and statistics.

Additional relevant skills

• Financial experience: factor models, econometrics, fundamental analysis, portfolio optimization.
• Academic or industry training in AI, machine learning, or deep learning.
• Programming experience with MATLAB or R.
• Knowledge of risk models such as BARRA, APT, Northfield, Axioma etc. and risk metrics and methods such as VaR and stress testing models.
• Familiarity with Visual Studio Code (VS Code) and GitHub.
• CFA designation or working towards obtaining it.
• Bilingual (English/French)

Who We Are:

TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well‑being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well‑being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We’re committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Maîtrise d’une langue autre que le français pour offrir du soutien ou traiter avec des employés ou des collègues qui ont besoin de services et de soutien dans une langue autre que le français.