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T
Customer Experience Associate
TD
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- Part-time
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- Full-time
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Senior Manager, Advanced Analytic, Insurance Model Validations (Quants)
TD
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- Full-time
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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Manager, Advanced Analytic, Insurance Model Validations (Quants)
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- Full-time
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
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Manager, Advanced Analytic, Insurance Model Validations (Quants)

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

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
- Develop an effective and efficient validation testing plan based on design of different models and complete validation in time to support various business initiatives and regulators requirements.
- Conduct or instruct junior validator for different validation analyses to capture all material & critical model limitations and complete validation testing according to the validation plan.
- Provide effective communication with different stakeholders from 1st line and in-time solve model limitations / issues to meet validation lead time target.
- Work with team to 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.

Recommend the approval of the models or other corrective actions based on independent vetting and validation.

Work in a highly interactive, team-oriented environment with Big Data developers, and analytical experts to effectively manage available resource to complete validation in time for different business initiatives and priorities.

Maintain full professional knowledge of techniques and developments in actuarial methodology and ML/AI modeling for Insurance and share knowledge with business partners and senior management.

Support developing standards and procedures for vetting and validation that are compliant with the Bank’s internal Model Risk Policy, adhere with industry best practices, and meet regulatory requirements.

Support Senior Manager to develop and coach Junior validators

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Respond to requests from both Canadian and U.S. regulators, internal and external audit in their review/audit of risk models and vetting/validation process and procedures. Provide information and assistance as required.
Work effectively with internal model development group, Audit, and other internal partners to ensure risk models meet required Bank standards for use.

Education & Experience:

Post-secondary degree in actuarial science or Statistics
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)
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, including pricing / classification models and testing / using industry vendor models for pricing and classification.
1+ Exp. in modeling / validating for multiple product lines (life and general insurance (auto/property)) for IFRS 17 liability / reserve, Stress testing, ORSA, CAT. Models
1+ Exp. in AXIS and SAS for life models
1~2 Exp working closely with key business or MD leaders to executive model development or validation plan, ensuring the optimal use of resources for competing priorities to deliver different critical projects with tight / short timeline (i.e., 2 ~ 4 week)

Preferred Qualifications:

Understanding end to end pricing process and regulatory requirements for Insurance models
Knowledge of industry best practices in modelling, risk monitoring & analytics, and best vendors for Insurance

Proficient in relevant programming language & software for ML / AI modelling

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
Provides analytical thought leadership and stays current on developments in Insurance modelling

Shareholder Accountabilities:

Works closely with key business leaders to develop validation plan, ensuring the optimal use of resources and leverages TD’s operating model to maximize efficiency, effectiveness and scale
Executes on the validation plan to deliver results aligned with enterprise model validation procedures and model risk policy
Protects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk activities as necessary
Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

Employee/Team Accountabilities:

Connects the alignment of colleague's contributions with the TD Shared Commitments
Builds and retains an engaged and diverse team that embraces diversity of thought, creativity and curiosity; where every colleague and customer are valued, respected, and listened to; committed to a common goal and collaborate to move with speed and get things done
Demonstrates inclusive leadership by taking meaningful action with intention to support colleagues and customers across all dimensions of diversity, including those from underrepresented communities, being actively anti-racist, attracting and retaining diverse slate of candidates, nurturing mutual respect, inclusivity of thought and collaboration to drive successful results
Enables a continuous learning culture by proactively seeking, listening to and actioning feedback from peers and from colleague listening opportunities to continuously improve the colleague experience and grow your personal leadership
Fosters an environment that promotes sharing of knowledge, information, skills, and subject matter expertise among the team; ensures timely management and escalation of issues and creates opportunities to collaborate with other functions and teams
Contributes to the development of business segment and/or enterprise functional strategic priorities within their operational area or field of specialty that drives results

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 role involves independently validating insurance models, developing testing plans, and ensuring compliance with regulatory and internal risk standards. The manager will also lead junior validators and collaborate with business partners to solve model limitations and support strategic initiatives.

Requirements

Candidates must hold a post-secondary degree in actuarial science or statistics and possess professional actuarial credentials (FSA, ACAS, or ACIA). At least one year of experience in P&C insurance model development or validation, specifically with AI/ML and industry-standard software like SAS and AXIS, is required.

Skills

Actuarial science
Statistics
Model validation
Risk management
Machine learning
Artificial intelligence
SAS
AXIS
Pricing models
Classification models
IFRS 17
Stress testing
Project management
Communication skills
Analytical leadership

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

Actuarial science
Statistics
Model validation
Risk management
Machine learning
Artificial intelligence
SAS
AXIS
IFRS 17
Stress testing
ORSA
CAT models
Pricing
Regulatory compliance
Audit
Data analytics
Insurance
Project management
Quantitative analysis
Risk appetite
Financial modeling
Big data
Actuarial methodology
Model risk policy
Leadership

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