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Salary
$40k – $95k per year (Estimated)
Location
In office (Toronto)
Employment
Full-Time
Overview
Company
Impact
Profile match
Headquartered in Toronto, Ontario, Canada, Layer 6 AI is an artificial intelligence research laboratory and engineering organization operating as the AI center of excellence for TD Bank Group. Founded in 2016 and acquired by TD Bank in 2018, the company develops and deploys enterprise-grade deep learning, generative AI, and time-series forecasting models across retail banking, wealth management, and financial operations.

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

TD Wealth

Pay Details:

$80,000 - $100,000 CADThis 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 March 31 2026,, TDAM and its affiliates manage over $510 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.

TDAM's Investment Performance and Portfolio Oversight team creates and provides analytics to measure the outcome of investment decisions across all TDAM mandates. The core analytic accountabilities will include performance measurement, attribution/contribution reporting and portfolio analysis across TDAM's suite of multi asset solutions and private assets. The role will also be required to assist the team in designing and developing various tools to support performance and risk analytics. The role will support a range of scheduled tasks, projects, ad hoc requests/problem solving and continuous process improvement.

Accountabilities

  • Provide investment risk analysis, performance reporting and attribution on TDAM’s fund of funds (FoF) mandates.

  • Create various dashboards/scorecards/reports to help the Private assets and Asset Allocation teams visualize the outcome of various investment decisions.

  • Support fund attribution analysis and commentaries within presentations and dashboards/scorecards for executives.

  • Participate in various projects and initiatives around Private assets and Asset Allocation reporting and analytics.

  • Contribute to enhancing the accuracy, quality and relevance of investment risk reports.

  • Actively participate in process improvement opportunities.

  • Support the timely and accurate completion of business processes and procedures.

  • Protect the interests of the organization - identify and manage risks, and escalate non-standard, high-risk activities as necessary.

  • Ensure documentation that is prepared / completed is accurate and properly reflects client / business intentions and is consistent with relevant rules / regulations.

  • Support the team by continuously enhancing knowledge / expertise in own area and participate in knowledge transfer within the team and business unit

  • Participate in personal performance management and development activities, including cross training within own team.

Specific Educational Requirements and Skills

  • A bachelor's degree in Computer science, Mathematics, Economics or Finance or similar is required for this position.

  • Proficiency in Excel, VBA and programming, with experience in, or a strong desire to learn: Python, SQL, JavaScript, is required.

  • Expereince using FactSet and MorningStar is an asset.

  • Completion of, or working towards, the CFA designations is an asset.

  • Past co-op experience in asset management or equivalent is preferred.

  • Strong Time Management and organizational skills.

  • Strong analytical skills with a sharp eye for detail.

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):

Sans Objet
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