IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Sep 20, 2026

Hiring at a glance

View jobs

Open jobs: 2,633
Employers: 1,273

Advertised starting pay

Average starting payCAD / year: $98,198Across 247 listings
Average starting payCAD / hour: $48.86Across 82 listings
Average starting payUSD / year: $118,463Across 56 listings
Average starting payUSD / hour: $57.29Across 11 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%125 listings
Hybrid: 39%1,024 listings
On-site: 56%1,464 listings

Not specified: 1% (20 listings)

Employers hiring include RBC (76), Royal Bank of Canada (56), TD (46).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Data Scientist - Credit Risk (ATH 5531)

Toronto, ON, Canada

Pay: $81,600 - $115,200 CAD
Job type: Full-time
Apply by: Oct 2, 2026
Posting language: English
Posted: Sep 18, 2026

Apply About employer

Applications open in a new tab.

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Risk Management

Pay Details:

$81,600 - $115,200 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:

Department Overview

The Retail Risk Management Credit Cards & Personal Lending Strategy team develops and manages credit strategies that drive customer and business outcomes. We combine analytics, strategic thinking, and stakeholder influence to balance growth, profitability, customer experience, and risk appetite. We don't stop at generating insights. We ask "So what?" and "Why should we care?", then turn those insights into actions that shape portfolio performance. Along the way, we leverage modern analytics and AI-enabled tools to improve productivity, accelerate insights, and focus on higher-value strategic decisions.

Job Description

Reporting to the Senior Manager, Credit Strategy, you'll support the MBNA and other credit card portfolios by combining analytics, strategic thinking, and stakeholder collaboration to solve business problems and drive meaningful outcomes. You'll work across Product, Fraud, Technology, Operations, and Model Development to drive business growth.

Around here, finding an insight is just the start. The real value comes from answering "So what?" and "Why should we care?", building support for an idea, and helping turn it into action.

Because finding an insight is interesting. Turning it into a business outcome is where the fun starts.

What You'll Do

Own a portfolio, strategy, or business problem area end-to-end. Become the trusted expert, understand where it's headed, and challenge how it's done today.
Use data, analytics, and business insight to identify opportunities, improve credit strategies and customer outcomes, and answer not just "what happened?", but "so what?" and "what should we do about it?"
Design, implement, monitor, and optimize credit strategies that balance growth, customer experience, profitability, and risk appetite.
Influence decisions, build stakeholder support, and drive alignment across Product, Model Development, Fraud, Technology, Operations, and senior leadership.
Challenge assumptions, ask tough questions, and provide effective challenge on portfolio performance, emerging risks, and strategic initiatives.
Translate complex data into clear, compelling recommendations that drive action and influence executive decision-making.
Monitor portfolio performance, identify emerging opportunities and risks, evaluate new models, tools, and capabilities, and recommend actions to improve credit decisioning and portfolio outcomes.
Leverage modern analytics and AI-enabled tools to improve efficiency, accelerate insights, and support strategic decision-making.

What Makes Someone Successful in This Role

You have an ownership mindset. You treat your portfolio like it's your business, not just your assignment, and take pride in making it stronger over time.
You're naturally curious and aren't afraid to ask "why?" more than once.
You enjoy connecting dots across data, business objectives, stakeholder perspectives, and customer outcomes.
You're equally comfortable working with data, senior leaders, and skeptical stakeholders.
You don't stop when you've found an interesting insight. You keep going until you've figured out what should happen next.
You enjoy building relationships, influencing decisions, and bringing people together around a common goal.
You can simplify complex analysis into a clear, compelling story that drives action and helps turn ideas into reality.

What You'll Bring

Technical & Analytical Skills

Experience using data and analytics to solve business problems and influence strategic decisions.
Ability to translate analysis into clear recommendations, not just findings.
Strong SQL skills and experience working with large, complex data sets.
Exposure to Python, Databricks, Azure, predictive models, machine learning, credit decisioning tools, or AI-enabled productivity tools is an asset.
Strong attention to detail and a healthy skepticism of results that seem "too good to be true."

Business & Risk Acumen

Experience in Credit Risk, Retail Banking, Financial Services, or a related analytical field.
Understanding of consumer lending, credit decisioning, portfolio management, or risk strategies is an asset.
Ability to balance customer, business, and risk considerations when making recommendations.
Strong problem-solving skills and sound judgment.

Communication & Leadership

Exceptional relationship management and stakeholder engagement skills.
Ability to influence without authority and build alignment across diverse teams.
Strong written and verbal communication skills, including presenting to senior audiences.
Ability to simplify complex concepts and tell a compelling story with data.
Comfortable navigating ambiguity, competing priorities, and constructive debate.

Education & Experience

We're more interested in your ability to solve problems, influence decisions, and drive outcomes than a specific academic path. Successful candidates will typically have:

Undergraduate degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Computer Science, Business Analytics, or a related field.
Experience in Credit Risk, Retail Banking, Financial Services, Strategy, Analytics, Consulting, or a related field.
Experience using data to influence business decisions and recommendations.
Experience managing complex stakeholder relationships and delivering cross-functional initiatives.
Graduate degree or experience with predictive analytics, machine learning, or credit decisioning tools is considered an asset.

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

Apply About employer

More about this job

Responsibilities

You will own and manage credit card portfolios by designing and optimizing credit strategies that balance growth, profitability, and risk appetite. This involves leveraging data analytics and AI tools to translate complex insights into actionable business recommendations for senior leadership.

Requirements

Candidates should have an undergraduate degree in a quantitative field and experience in credit risk, retail banking, or financial services. Strong SQL skills and the ability to influence stakeholders through data-driven storytelling are essential for success in this role.

Skills

SQL
Python
Databricks
Azure
Predictive modeling
Machine learning
Credit risk
Data analysis
Strategic thinking
Stakeholder management
Portfolio management
Financial services
Risk management
Communication
Problem solving
Business acumen

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Credit Risk
Risk Management
SQL
Python
Databricks
Azure
Predictive Models
Machine Learning
Credit Decisioning
Retail Banking
Financial Services
Portfolio Management
Data Analytics
Strategy
Stakeholder Engagement
AI-enabled tools
Business Intelligence
Quantitative Analysis
Credit Cards
Personal Lending
Risk Appetite
Profitability
Customer Experience
Strategic Initiatives

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