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Added 34 mins ago
Senior Data Scientist
Scotiabank
Toronto, ON
Design, develop, and implement end-to-end machine learning production pipelines (data exploration, cleaning, feature engineering, model building, and performance evaluation) and ensure that…
Added 34 mins ago
D
Senior Data Science Advisor
Desjardins
Toronto, ON · Mississauga, ON · Montreal, QC · Levis, QC · Calgary, AB
- Full-time
Use advanced statistical, machine learning and artificial intelligence methods to use data, and develop and optimize models and segmentations that meet business needs
Added 34 mins ago
A
Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for an exceptional Machine Learning Engineer to design, build, operationalize, and scale production-grade AI/ML and Agentic AI systems at Autodesk For Go-to-market…
Added 50 mins ago
Product Architect, AI (Auth0)
Okta
Toronto, ON
This is a senior, highly strategic, and deeply hands-on role. You will work across Product, Engineering, Security, Developer Relations, Design, Go-to-Market, and our customer community to…
Added 1 hour ago
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Toronto, ON
…actuarial tools and systems (such as AXIS), in data and analytics, machine learning, GLMs, insurtechs and other innovative advancements. Contributes to initiatives that improve operational…
Added 1 hour ago
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Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
Canada
- Full-time
Exposure to workforce forecasting models, simulation techniques, optimization algorithms, or machine learning applications in workforce planning.
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Senior Product Solutions Analyst
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Toronto, ON
Strong understanding of classical machine learning, model development, MLOps, and generative AI
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Senior Oracle Apps AI Developer
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ON · Ontario, Canada
- Contract
We are seeking a highly skilled Oracle Apps AI Developer with expertise in Oracle E-Business Suite (EBS), Oracle Cloud Applications, Artificial Intelligence (AI), Machine Learning (ML), and…
Added 1 hour ago
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Senior Technical Lead-Oracle Cloud- Oracle AI
Yochana
ON · Ontario, Canada
- Contract
We are seeking a highly skilled Oracle Apps AI Developer with expertise in Oracle E-Business Suite (EBS), Oracle Cloud Applications, Artificial Intelligence (AI), Machine Learning (ML), and…
Added 2 hours ago
Principal Software Developer
Open Text Corporation
Waterloo, ON
We are seeking an experienced Principal Software Developer responsible for the design and implementation of services for ingestion, classification and extraction of content from business…
Added 2 hours ago
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Actuarial Analyst
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Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
Develop and maintain sophisticated actuarial predictive models using advanced statistical techniques and machine learning algorithms
Added 2 hours ago
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Senior Technical Lead – Oracle Cloud & Oracle AI
Yochana
Toronto, ON
- Contract
We are seeking an experienced Senior Technical Lead – Oracle Cloud & Oracle AI with 8+ years of experience in Oracle application development, cloud technologies, and enterprise…
Added 2 hours ago
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Senior Python Engineer - Data Platforms
Highspring
Montreal, QC
- Full-time
Highspring is seeking a Senior Python Engineer to join a high-performing Data & AI team responsible for building modern data platforms that power advanced analytics and machine learning…
Added 2 hours ago
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Senior Consultant, AI Safety and Guardrails Engineering
CIBC
Toronto, ON
- Full-time
…Framework and its supporting processes and standards. As a Senior Consultant, AI Safety and Guardrails Engineering, you’ll help advance CIBC’s Governed AI by Design mandate by translating…
Added 3 hours ago
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Senior Software Developer, Cloud and Platform
Archipelago
Victoria, BC
- Full-time
We are looking to hire a Senior Software Developer, Cloud & Platform in our Victoria office. Healthy fisheries depend on good data, and good data depends on the platform you would be…
Added 3 hours ago
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Data Scientist
Dexian
Mississauga, ON
- $75 to $85 CAD / hour
- Contract
Build dashboards/data applications for senior business stakeholders.
Added 3 hours ago
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Senior Software Engineer - AI/ML
Hach
London, ON · Vancouver, BC · CAN - Vancouver - Aquatic Informatics ULC
- $120,000 to $145,000 CAD / year
- Full-time
Exposure to data science or machine learning concepts. Deep AI/ML expertise is not required.
Added 3 hours ago
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Manager Pricing Analytics
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Toronto, ON · Montreal, QC
- Full-time
Drive the strategic vision for end-to-end machine learning solutions, from problem formulation through deployment, ensuring alignment with business objectives and market opportunities
Added 4 hours ago
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Intern, AI Machine Learning Developer
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Canada
- Full-time
And here’s the exciting part: we don’t just build software - we build data-driven solutions. From high-impact machine learning models to innovative, scalable tools with real ROI, our…
Added 6 hours ago
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Architect, Machine Learning (Principal Scientist)
Kinaxis Inc.
Canada
- Full-time
Kinaxis is seeking a Machine Learning Architect to help define and advance our next generation of AI-driven capabilities. As part of the Product R&D organization, you will play a senior…
Added 6 hours ago
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Technician, Structures and Materials
University of Waterloo
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…teaching and research activities, with guidance and oversight from senior…
Added 7 hours ago
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Senior Full Stack Java Engineer - Workforce Management (WFM)
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Exposure to workforce forecasting models, simulation techniques, optimization algorithms, or machine learning applications in workforce planning.
Added 7 hours ago
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Technical Recruiter (6 month contract)
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Toronto, ON
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Partner deeply with senior engineering and technical leaders to shape hiring strategy, define ideal candidate profiles, and influence how we compete for elite technical talent
Added 7 hours ago
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Senior Full Stack Java Engineer - Workforce Management (WFM)
Miratech
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Exposure to workforce forecasting models, simulation techniques, optimization algorithms, or machine learning applications in workforce planning.
Added 8 hours ago
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Développeur(-euse) de logiciels sénior(e) (contenu) / Senior Software Development Engineer
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Montreal, QC · Canada - Quebec - Montreal
- Full-time
Développeur(-euse) de logiciels sénior(e) (contenu)

Data Scientist III - Financial Crimes Network Analytics (ATH 5556)

Toronto, 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: Nov 5, 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

Develop and operationalize analytical methods to detect and prioritize high-risk financial crime networks, including supervised-learning models, exploratory analysis, and recurring workflow automation. Create visualization and decision-support tools, communicate risk insights, review existing methodologies, and collaborate with business, data engineering, and technology partners.

Requirements

A bachelor's degree in a STEM field and at least one year of experience in an analytical field are specified; internship and co-op experience count. Core skills include SQL, Python, statistics, and machine-learning or AI modeling, while financial crime domain knowledge is beneficial but not required.

Skills

SQL
Python
Data Analytics
Statistics
Machine Learning
AI Modeling
Exploratory Data Analysis
Financial Crime Detection
Network Analytics
Supervised Learning
Data Visualization
Decision-Support Tools
Risk Analysis
Stakeholder Management
Root-Cause Analysis
Model Monitoring

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

Financial Crimes Risk Management
Anti-Money Laundering
Financial Crime Detection
Network Analytics
SQL
Python
Data Analytics
Statistics
Machine Learning
AI Modeling
Large Language Models
Agentic AI
Exploratory Data Analysis
Supervised Learning
Network Ranking
Risk Prioritization
Data Visualization
Decision-Support Tools
Workflow Automation
Model Calibration
Model Performance Monitoring
Root-Cause Analysis
Impact Analysis
Data Governance
Regulatory Compliance
Terrorist Financing
Risk Insights

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