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Remote Analytics Manager Jobs in Toronto, ON (NOW HIRING)

Analytics, Insights, & Artificial Intelligence Pay Details: 96,900 - 136,800 CAD TD is committed to ... You'll have regular career, development, and performance conversations with your manager, as well ...

In this role, you will manage and resolve support tickets related to our Human Resource Management ... This remote role welcomes candidates anywhere in Canada and the US. What your impact will be:

In this role, you will manage and resolve support tickets related to our Human Resource Management ... This remote role welcomes candidates anywhere in Canada and the US. What your impact will be:

In this role, you will manage and resolve support tickets related to our Human Resource Management ... This remote role welcomes candidates anywhere in Canada and the US. What your impact will be:

In this role, you will manage and resolve support tickets related to our Human Resource Management ... This remote role welcomes candidates anywhere in Canada and the US. What your impact will be:

In this role, you will manage and resolve support tickets related to our Human Resource Management ... This remote role welcomes candidates anywhere in Canada and the US. What your impact will be:

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Remote Analytics Manager information

What does a Remote Analytics Manager do?

A Remote Analytics Manager oversees data analysis projects and teams from a remote location, using digital tools to collect, interpret, and present data insights that drive business decisions. They collaborate with stakeholders to identify key metrics, develop analytical strategies, and ensure data accuracy. Additionally, they manage analytics platforms, mentor analysts, and provide actionable recommendations to improve company performance. This role requires strong communication, technical expertise, and the ability to work independently in a virtual environment.

What are the key skills and qualifications needed to thrive as a Remote Analytics Manager, and why are they important?

To thrive as a Remote Analytics Manager, you need a strong background in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and relevant analytics experience. Proficiency with tools such as SQL, Python or R, data visualization platforms like Tableau or Power BI, and experience with cloud-based analytics systems is essential. Excellent communication, leadership, and problem-solving skills help you collaborate effectively with remote teams and translate data insights to stakeholders. These skills and qualities are crucial for driving informed decision-making and ensuring successful outcomes in a distributed work environment.

How does a Remote Analytics Manager effectively collaborate with cross-functional teams despite working remotely?

As a Remote Analytics Manager, you’ll frequently work with marketing, product, and engineering teams to drive data-informed decisions. Effective collaboration typically involves regular video meetings, clear documentation, and the use of shared dashboards or collaboration tools to ensure all stakeholders are aligned. Building strong communication habits and proactively sharing insights are essential for maintaining influence and visibility within the organization, even when working from different locations. Many companies also encourage participation in virtual team-building activities to foster relationships and improve teamwork.
What are popular job titles related to Remote Analytics Manager jobs in Toronto, ON? For Remote Analytics Manager jobs in Toronto, ON, the most frequently searched job titles are:
What cities near Toronto, ON are hiring for Remote Analytics Manager jobs? Cities near Toronto, ON with the most Remote Analytics Manager job openings:
Infographic showing various Remote Analytics Manager job openings in Toronto, ON as of July 2026, with employment types broken down into 89% Full Time, 4% Temporary, and 7% Contract. Highlights an 4% In-person, and 96% Remote job distribution.
Manager, Advanced Analytics

Manager, Advanced Analytics

Td

Toronto, ON • On-site, Remote

Full-time

Posted 4 days ago


Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

96,900 - 136,800 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:

Depth & Scope:

The risk model development department is seeking an experienced model developer to enhance TD's retail stress testing framework by incorporating environmental and climate risk impacts into financial stress projections for residential lending portfolios.

The incumbent will design, develop, and support model components that quantify climate-related impacts or other economic risks within TD's U.S. retail stress testing process, with a near-term focus on mortgage and home equity portfolios.

The ideal candidate will combine quantitative modeling expertise, programming capability, and practical familiarity with credit risk, stress testing, or climate risk analytics.

Department Overview

The retail model development group within risk is responsible for the creation of credit risk models on TD's consumer lending portfolios, including mortgage, home equity, auto lending, small business and credit cards for cross-border stress testing exercises.

Required Qualifications, Education & Experience

  • Prior programming experience with one or more statistical applications such as SAS, Stata, or SPSS, or related programming languages such as Python or R.
  • Master's degree or PhD in a quantitative discipline, or at least three years of experience in quantitative analytics or model development.
  • Strong written and verbal communication skills, including the ability to explain quantitative methods and model results to technical and non-technical stakeholders.

Preferred Qualifications

  • Experience with credit risk analytics, financial stress testing, or model development in a large and complex financial institution.
  • Experience with climate risk analytics, environmental risk modeling, or location-based physical risk tools such as Munich Re Location Risk Intelligence.
  • Experience building computational simulations.
  • Advanced SAS experience.

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