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 current 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

📌 Research Associate, Quantitative Research Team (Winnipeg)
🏢 TD
📍 Winnipeg