Hybrid
Montréal, Québec
Toronto, Ontario
Full time
R_1506034
**Work Location:**
Montréal, Quebec, 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:**
**Role Overview**
The Data Scientist II will be responsible for developing, validating, and optimizing internal fraud and authentication models that support TD's objective of expanding proprietary risk capabilities and reducing reliance on external vendor models.

The role covers the end-to-end model development lifecycle, including data discovery, feature engineering, experimentation, model evaluation, documentation, business impact assessment, and productionization support.

This is a hands-on development role with significant responsibility for presenting results and communicating with technical and non-technical stakeholders.

The successful candidate will partner with Strategy, Engineering, Product, Data, Model Validation, and Risk teams to translate business challenges into scalable analytical solutions.
**Key Responsibilities**
Develop, validate, and optimize machine learning and statistical models for fraud detection, authentication, identity verification, account opening, account takeover, scam detection, and related risk use cases.

Lead end-to-end model development activities, including data discovery, exploratory analysis, data preparation, feature engineering, experimentation, model training, hyperparameter tuning, performance evaluation, and business impact assessment.

Evaluate internal models against vendor models and existing business strategies, using appropriate fraud and risk metrics such as capture rate, false-positive rate, lift, precision, recall, stability, and customer friction.

Build reproducible and well-documented analytical workflows using Python, SQL, and enterprise data platforms, and support implementation and productionization with Engineering, FICO, MLOps, and platform teams.

Perform model monitoring, stability and segmentation analysis, performance diagnostics, and issue investigation to identify degradation, data gaps, and remediation actions.

Prepare model documentation and analytical evidence for Model Validation, Model Risk Management, governance reviews, approvals, and lifecycle management.

Analyze customer, authentication, and fraud behaviour to identify emerging trends, risk gaps, feature opportunities, and areas where internal models can improve detection coverage.

Prepare and deliver executive-ready presentations, technical documentation, reports, and business impact summaries for technical and non-technical audiences.

Lead cross-functional discussions to align stakeholders on data requirements, model scope, success criteria, risks, dependencies, timelines, implementation considerations, and next steps.

Contribute to continuous improvement of internal modeling standards, reusable analytical frameworks, development practices, and proprietary fraud and authentication capabilities.
**Qualifications**
**Required**
Undergraduate or graduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.




3-5+ years of experience in data science, machine learning, statistical modeling, or advanced analytics.

Strong hands-on proficiency in Python, SQL, machine learning, statistical analysis, feature engineering, and data visualization.

Experience developing and evaluating predictive models in a business or production-oriented environment.

Strong presentation, written communication, and stakeholder management skills.

Ability to explain technical methods, model results, limitations, and business impact to different audiences.

Ability to independently manage development activities across multiple initiatives in a fast-paced environment.
**Preferred / Solid Assets**
Previous experience with Model Validation (MV), model risk, model governance, or independent model review processes.

Experience in fraud analytics, authentication, cybersecurity, financial crime, identity verification, or digital banking.

Experience developing fraud, risk, or customer behaviour models using highly imbalanced datasets.

Experience with Azure Databricks, Azure Machine Learning, MLOps pipelines, Streamlit, FICO platforms, or other cloud-based analytics environments.

Experience supporting model implementation, production deployment, performance monitoring, and lifecycle management.

Familiarity with graph analytics, network analysis, or advanced AI techniques is an asset.
modeling capabilities.
**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 (http://www.td.com/ca/en/about-td/who-we-are/benefits-of-working-at-td)
**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):**
Maîtrise d'une langue autre que le français pour offrir du soutien ou traiter avec des employés ou des collègues qui ont besoin de services et de soutien dans une langue autre que le français.
US Labor & Employment Posters
(https://tdbank.site.findly.com/wp-content/uploads/sites/3875/2026/07/USApplicant

Rights_revised_7-13-2026.pdf) | California Privacy (https://www.td.com/us/en/personal-banking/privacy/california/)

Accessibility (https://www.td.com/us/en/personal-banking/universal-footer/accessibility/)
FAQ (https://cdn-static.findly.com/wp-content/uploads/sites/3345/2024/08/02032545/FAQ_EN.pdf)
**Our Values**
At TD we're guided by our purpose to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior.

In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care.

No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture.
**Our Commitment to Diversity, Equity, and Inclusion**
At TD, we're committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported.

We're dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve.
**Helping to Make an Impact in Communities – TD Ready Commitment**
TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future.

That's why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative.

Under the TD Ready Commitment, we are targeting a total of C$1 billion by 2030 in community giving across four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health.

It's our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities.

Learn more: Canada (https://www.td.com/ca/en/about-td/ready-commitment)
US (https://www.td.com/us/en/about-us/communities/ready-commitment)
Europe & Asia Pacific (https://www.td.com/ca/en/about-td/ready-commitment)
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.

📌 Data Scientist II (Toronto)
🏢 TD Bank
📍 Toronto