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Modelling / Forecasting Senior Analyst (Quants)

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 27, 2026
Experience: 3-5 years of experience with model development/validation, including machine learning models, dealing with PPNR stress testing, scorecard and/or capital models
Posting language: English
Posted: Oct 13, 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:

Department Overview:

The Model Validation (MV) group is a centralized model risk management function within the Bank. It has seen fast growth in the past few years reflecting global regulators’ increasing attention on model risk. The Retail model validation team within MV is responsible for the vetting and approval of complex mathematical and statistical models used to measure the risk exposure inherent in retail and trading products, as well as to review, validate and approve models used for the calculation of risk capital for these businesses. By ensuring an objective and independent evaluation of models, the model validation function is critical to the effective measurement and management of risk across the TD Bank Group.

Job Description:

The position reports to Senior Manager, Retail Credit Risk, Model Validation

Perform validation of all models deemed in-scope by the bank-wide Model Risk Policy. These models are used in the Bank for projecting RWA capital (PD/LGD/EAD), Pre-Provision Net Revenue (PPNR) estimates for stress testing (DFAST, EWST) purposes, adjudication/management/collection for various retail products, marketing and analytics, etc.
Develop independent benchmarks for use in the validation of the above listed models. These benchmark models could be supervised learning, unsupervised learning and deep learning algorithms. Assess the appropriateness of the model for its specific use, reasonableness of the model assumptions and the accuracy of the model implementation.
Prepare detailed reports describing the mathematical analytics of the model, validation techniques employed, test results obtained, and any model limitations noted.
Prepare Management summaries highlighting the outcome of the validation process for each model and outlining recommendations for approval or further improvements.
Establish and maintain productive working relations with internal model development groups such as US and CAD Retail Model Development, Financial Stress Testing (FST), etc., as well as external vendors who have developed customized models for TD.
Play a key role in ensuring the appropriate use of risk models. Identify the need to implement new models/techniques for risk management as industry standards evolve and regulatory requirements change.
Stay current in knowledge of credit risk management methodologies, predictive modeling and statistical analysis.

Requirements and/or qualifications:

Strong statistical background and excellent analytical and problem solving skills with a graduate degree in one or more of the following areas: statistics, economics, finance, mathematics, computer science and engineering.
3-5 years of experience with model development/validation, including machine learning models, dealing with PPNR stress testing, scorecard and/or capital models
Hands-on experience with relevant programming languages, such as Python, SAS, R is a must
Knowledge in retail banking products, customer behaviours, and macroeconomic impacts is a definite asset
Excellent verbal and written communication skills
Good time management and multitasking skills
Quick learner who grasps new concepts and techniques quickly
Must be a good team player

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 analyst will perform validation of complex mathematical and statistical models used for risk exposure and capital calculation. They will also develop independent benchmark models and prepare detailed reports outlining validation results and recommendations.

Requirements

Candidates must possess a graduate degree in a quantitative field such as statistics, mathematics, or finance. Additionally, 3-5 years of experience in model development or validation with proficiency in Python, SAS, or R is required.

Skills

Statistical modeling
Forecasting
Python
SAS
R
Machine learning
Credit risk management
Predictive modeling
Statistical analysis
Retail banking
Data validation
Stress testing
Capital modeling
Analytical skills
Problem solving
Communication skills

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

Model validation
Risk management
Retail credit risk
PD/LGD/EAD
PPNR
Stress testing
DFAST
EWST
Supervised learning
Unsupervised learning
Deep learning
Python
SAS
R
Statistical modeling
Predictive modeling
Capital models
Scorecard
Financial stress testing
Quantitative analysis
Risk capital
Regulatory requirements
Data analytics
Model risk policy
Benchmark development

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