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Added 7 mins ago
C
Senior Storeperson
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- Full-time
…Together, we move goods, connect people, and create lasting change. Your future starts…
Added 7 mins ago
MJ
Property Housekeeping & Groundskeeping Worker (Casual)
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ON · Kenora, ON
- Internship
May consist of days, evenings, weekends, and holidays. Subject to change as per operational requirements
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Toronto, ON
- Full-time
We at Raise are hiring a Senior Project Manager for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.…
Added 23 mins ago
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- $70,000 to $80,000 CAD / year
- Full-time
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Participate in related projects as assigned by the Manager, Client Services
Added 38 mins ago
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Evaluate new-product assessments and other change-related activities, and represent Market Risk’s independent view.
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Added 1 hour ago
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…evolution of CMH, the responsibilities of this position may change, as may the details that are associated with many of the tasks. During these times of change, this position requires the…
Added 1 hour ago
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Coordinator, Guest Logistics
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- Full-time
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Added 1 hour ago
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Guest Experience Representative, Kelowna (Winter 2026/27)
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- Part-time
Added 1 hour ago
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Transfer Coordinator, Kelowna (Winter 2026/27)
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BC · British Columbia, Canada
- Full-time
Communicate transportation updates with the lodge and department manager.

Data Scientist II

Markham, ON, Canada
Toronto, ON, Canada

$81,600 - $115,200 CAD · Full-time

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Job details

Pay: $81,600 - $115,200 CAD
Job type: Full-time
Apply by: Oct 17, 2026
Experience: 2+ years of hands-on experience in an analytical capacity
Posting language: English
Posted: Oct 2, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

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:

About this Role

Are you passionate about analytics and working with big data? Want to drive change and become a subject matter expert in fraud management? If so, join the Canadian Fraud Performance Management Team.

You would be responsible for mining big data to discover actionable fraud insights, and to develop and implement fraud strategies in a fast paced environment. You would manage evolving fraud threats while taking into consideration TD risk appetite, Customer and operational experience. With strong technical, analytics background you would join the team to learn and manage 1st and 3rd party fraud.

Accountabilities
Fraud Management

Develop and deploy product and channel-specific fraud strategies to reduce fraud risk balancing loss, Customer experience and operational capacity
Identify new fraud vectors and optimize existing rules using SQL, Python, and fraud authentication solutions
Conduct intra-day and weekly monitoring across products, channels, and risk segments
Provide ad-hoc analysis to support decision-making at the executive level
Continually optimize, improve, and strengthen fraud strategy and analytics capabilities
Independently investigate new, high-risk fraud threats under tight timelines

Job Requirements

Advanced proficiency in SQL, Python for data analysis, automation, and reporting
2+ years of hands-on experience in an analytical capacity
Motivated to constantly strive to find innovative data-informed ways to enhance capabilities
In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent
Ability to communicate strategy analysis to both technical and non-technical team members
Passion and drive to take initiative and work independently under tight timelines
Ability to effectively manage multiple work streams and tasks at the same time
Undergraduate degree from a technical domain (e.g. computer science, engineering, mathematics, or statistics)

Preferable

Experience in fraud management is an asset
Machine learning development and deployment is an asset
Automation experience is 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

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More about this job

Responsibilities

You will mine big data to discover actionable fraud insights and develop strategies to mitigate fraud risk. The role involves monitoring fraud vectors across products and channels while balancing customer experience and operational capacity.

Requirements

Candidates must have an undergraduate degree in a technical field and at least 2 years of analytical experience. Advanced proficiency in SQL and Python is required, along with strong data science tool knowledge.

Skills

SQL
Python
Data analysis
Fraud management
NumPy
Pandas
Matplotlib
R
Big data
Automation
Risk management
Data science
Machine learning
Reporting
Strategy development

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
Fraud Management
Big Data
SQL
Python
NumPy
Pandas
Matplotlib
R
Machine Learning
Data Analysis
Risk Assessment
Automation
Analytics
Financial Services
Banking
Strategy Development
Authentication Solutions
Data Science
Reporting

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