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Added 5 mins ago
T
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- Full-time
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Data Scientist III - Financial Crimes Network Analytics (ATH 5556)

Toronto, ON, Canada
Markham, ON, Canada

$96,900 - $136,800 CAD · Full-time

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Job details

Pay: $96,900 - $136,800 CAD
Job type: Full-time
Apply by: Oct 17, 2026
Experience: Work Experience: 1 year or above, intern / co-op experience in analytical fields is counted.
Posting language: English
Posted: Oct 6, 2026

Original 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:

Data Scientist III ( Financial Crimes Network Analytics )

Summary

Join the Advanced Analytics & Insights team within Financial Crimes Risk Management (FCRM) Canada to advance an innovative Financial Crimes Network Threat Detection & Prioritization capability.

This high-impact initiative focuses on uncovering hidden high-risk customer connections that conventional detection methods often miss, enabling effective risk identification, prioritization, and strategic insights.

The Data Scientist III will lead the enhancement & operationalization of this detection capability, primarily including developing analytical detection methods, generating risk insights, building visualization and decision-support tools for business users.

Key Accountabilities

Financial Crime Analytics & Detection

Translate financial crime typologies into detection strategies, generate hypothesis, design analytical approaches, develop querying logic, and validate findings through data analysis.
Perform periodic Exploratory Data Analysis to identify emerging risk patterns, customer characteristics, and risk operation insights.
Synthesize and present data-driven findings and recommendations to technical and non-technical audiences.

Technical Solutions & Operationalization

Design and develop interactive visualization and decision-support tools that allow business users to explore identified high-risk networks, understand risk drivers, and interpret analytical outputs.
Automate recurring operational workflows to improve scalability and efficiency.

Modelling & Innovation

Develop, calibrate, and test supervised-learning model(s) for network ranking
Monitor model performance, evaluate existing modelling methodologies and practices, and develop new detection methodologies and analytical approaches

Ad-hoc Analysis

Translate business problems into structured analytical problems and develop practical solutions
Conduct ad-hoc analysis including such as root-cause analysis and impact analysis to meet business objectives
Perform independent analytical review and effective challenge of existing methodologies and analytical solutions; assess assumptions, data, results, and business implications and provide constructive recommendations for enhancement
Contribute to documentation, governance, controls, and ongoing monitoring required

Stakeholder Management

Collaborate with internal team members, business users, and data engineers, technology teams, and other partners to deliver solutions.

Qualifications & Skills

Core skills: SQL, Python for data analytics; statistics;
ML/AI modelling experience, Large Language Modelling experience, AI agentic experience are bonus.
Domain knowledge: Anti-financial crime (money laundering, terrorist financing), regulatory and governance knowledge and working experience are beneficial but not required; training and guidance will be provided.
Education: Bachelor's degree in STEM (e.g., Science, Technology, Engineering, Mathematics, Statistics, Data Science, Economics).
Work Experience: 1 year or above, intern / co-op experience in analytical fields is counted.

Why join us

Anti-Money Laundering (AML) is TD Bank's current top one priority. Support the bank's one of the most essential objectives through a high-impact analytical initiative with visibility across senior leadership.
Contribute to an industry-leading capability from an early stage with opportunities to influence future direction on how the bank manages financial crime risks.
Work at the intersection of data science, anti-financial crime, and strategic decision making.
Receive mentorship and career development support in both business and technical lens, including but not limited to advanced analytics, machine learning/AI, product design & management, stakeholder influence, and leadership development.

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

The Data Scientist III will lead the development and operationalization of financial crime network threat detection capabilities. This includes building analytical models, creating visualization tools, and automating workflows to identify high-risk customer connections.

Requirements

Candidates must hold a Bachelor's degree in a STEM field and possess at least one year of analytical experience. Proficiency in SQL, Python, and statistical modeling is required, with domain knowledge in anti-financial crime considered an asset.

Skills

SQL
Python
Data analytics
Statistics
Machine learning
AI modelling
Large language modelling
AI agentic experience
Anti-financial crime
Money laundering
Terrorist financing
Regulatory knowledge
Governance
Data visualization
Decision-support tools
Exploratory data analysis

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
Financial Crimes
Network Analytics
SQL
Python
Machine Learning
AI
Large Language Models
Anti-Money Laundering
AML
Risk Management
Exploratory Data Analysis
Data Visualization
Supervised Learning
Root-cause analysis
Impact analysis
Governance
STEM
Analytics
Financial Services
Threat Detection
Automation
Decision-support
Regulatory Compliance
Data Engineering

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