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 Canadas largest and most respected investment management and research teams with more than 220 Portfolio Managers, Associate Portfolio Managers, Traders and Analysts.

Versatile job accountabilities and skills will be needed, as the candidate will be working with a small team and to ensure efficiency various hats will be required Responsibilities: Help to grow a team of data scientists and software engineers Partner closely with portfolio managers, sales, technology, operations, senior management and other stakeholders within the organization to guide their decisions making process through construction on ML tools Proactively identify and champion projects that solve complex problems across multiple domains Apply specialized skills and fundamental data science methods (predictive modeling, Generative AI, time series forecast, deep learning, NLP) to develop solutions that improve business decisions Design and implement end-to-end data pipelines: work closely with stakeholders to buildmodels, tables or schemas that support business processes Guide and mentor developers and data scientists, fostering skill growth and best practices in AI/ML and software engineering Qualifications: Bachelors degree in Computer Science, Software Engineering, or a related field.

Extensive experience using Python including a strong grasp on machine learning and deep learning toolkits (e.g.: Tensor

Flow, PyTorch, Num

Py, Scikit-Learn, Pandas) Strong background in machine learning,



large language models (LLMs), agentic AI frameworks, and modern software engineering Theoretical and practical knowledge of machine learning, NLP (natural language processing), deep learning an statistics It would be great if you have: Strong software engineering skills: version control, CI/CD, testing, and code optimization Experience with data storytelling using

Tableau, Qlik

View, Mode, Matplotlib, D3, or similar data visualization tools 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 perks, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs.





Additional Information: Were delighted that youre considering building a career with TD.

Through regular development conversations, training programs, and a competitive benefits plan, were 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 youre interested in a specific career path or are looking to build certain skills, we want to help you succeed.

Youll 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 youre 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 youve got everything you need to succeed in your new role.

Interview Process Well 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 youd 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): Sans Objet

📌 Data Scientist - TD Asset Management (Toronto)
🏢 The Toronto-Dominion Bank (Canada)
📍 Toronto