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Fellow or associate of the Society of Actuaries (FSA), Fellow or Associate of the Casualty Actuarial Society (ACAS), Fellow or Associate of the Canadian Institute of Actuaries (ACIA)
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Data Scientist I (Quants) – Insurance Model Validation

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: Nov 12, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

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:

The Model Validation (MV) group in Enterprise Risk, Risk Management is responsible for the independent validation and approval of all analytical models used for TD.

The position reports to Senior Manager, Insurance Model Validation. Detailed accountabilities include:

Conduct validation independently for a variety of TDI insurance models
- Conduct validation testing and analysis for different FCRM models under Senior Manager or Manager supervision to support various business initiatives and regulators requirements.
- Have effective communication with different stakeholders from 1st line to discuss and solve model limitations / issues identified during the validation process.
- Deliver high quality model validation reports with adequate information and justification to support validation conclusions and Audit / regulator review / assessment of validation process and validation analysis.

Maintain full professional knowledge of techniques and developments in actuarial methodology and ML/AI modeling for Insurance

Develops different validation testing tools / programs to assess advanced AI / ML models

Education & Experience:

Post-secondary degree in one or more of the following areas: Actuarial science, Statistics, AI/ML, or financial engineering.

Fellow or associate of the Society of Actuaries (FSA), Fellow or Associate of the Casualty Actuarial Society (ACAS), Fellow or Associate of the Canadian Institute of Actuaries (ACIA)

In-depth knowledge of ML/AI modelling and proficient in programming languages & software for AI/ML modelling.

1+ Exp. in any top 10 Canadian P&C insurer regarding developing / validating a new pricing and rating solution with exposure in AI / ML modelling is an asset.
Exp. in modeling / validating for multiple product lines (life and general insurance (auto/property)) for IFRS 17 liability / reserve, Stress testing, ORSA, CAT. Models is an asset
undefined Excellent verbal and written communication skills Excellent time / project management and multitasking skills with minimal supervision. Customer Accountabilities: Works in a highly interactive, team-oriented environment with Big Data developers, and analytical experts Stays current on developments in techniques and developments in actuarial methodology and ML/AI modeling for Insurance Shareholder Accountabilities: Works closely with key stakeholders to conduct different validations in time to support different business initiatives Executes on the validation plan to deliver results aligned with enterprise model validation procedures and model risk policy Employee/Team Accountabilities: Shares knowledge, information, skills, and subject matter expertise among the team; Collaborates with other functions and teams to complete validation efficiently and in-time escalate identified issues.

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

Conduct independent validation and testing of insurance and FCRM models to ensure compliance with regulatory and business requirements. Communicate findings to stakeholders and produce high-quality validation reports to support audit and assessment processes.

Requirements

Requires a post-secondary degree in Actuarial Science, Statistics, AI/ML, or Financial Engineering, along with professional actuarial designations. Candidates should possess in-depth knowledge of ML/AI modeling and experience in pricing or rating solutions within the insurance industry.

Skills

Model validation
Actuarial science
Statistics
Artificial intelligence
Machine learning
Financial engineering
Programming
Risk management
Data analysis
Project management
Communication
Multitasking
IFRS 17
Stress testing
ORSA
CAT modeling

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
Model Validation
Insurance
Actuarial Science
Statistics
Artificial Intelligence
Machine Learning
Financial Engineering
Risk Management
FCRM
IFRS 17
Stress Testing
ORSA
CAT Models
Programming
Big Data
Audit
Regulatory Compliance
Pricing
Rating Solution
Society of Actuaries
Casualty Actuarial Society
Canadian Institute of Actuaries
Analytical Models
Enterprise Risk

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