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TD Bank

Actuarial Specialist – Claims Analytics

Posted 6 Days Ago
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In-Office
Montréal, QC, CAN
Senior level
In-Office
Montréal, QC, CAN
Senior level
The Actuarial Specialist will lead claims analytics initiatives, ensuring data soundness and contributing to predictive use cases while collaborating with various teams for workflow enhancements and reporting.
The summary above was generated by AI

Work Location:

Montréal, Quebec, Canada

Hours:

35

Line of Business:

Data & Analytics

Pay Details:

110 600 $/$110,600 - 160 000 $/$160,000 CAD

This role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.

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:

Actuarial expert accountable for the soundness of data, methodology, models, and analytical assumptions while delivering priority claims operations initiatives end‑to‑end — from current‑state journey mapping to future‑state rewired design, value‑at‑stake sizing, and deployment of AI models into claims workflows.


This role partners with Claims Operations, Product, and Technology to enhance workflows, build standalone tooling where required, and establish controls for safe, scalable adoption.

Provide technical leadership within Claims Analytics and contribute to enterprise analytics standards where relevant.

KEY ACCOUNTABILITIES

CUSTOMER

  • Develops the communication, interpretation, application and implementation of actuarial analysis and results to the business.
  • Ensure the availability and quality of data used for all actuarial analysis, based on a thorough knowledge of the data systems.
  • Own end‑to‑end analytical deliverables for claims operations initiatives.
  • Develop and operationalize predictive and GenAI use cases across the claims lifecycle, including monitoring/measurement of performance and adoption, to improve advisor efficiency and customer experience.
  • Use a wide range of programing languages (e.g. Python, R) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
  • Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.

SHAREHOLDER

  • Analytical thought leadership and stay current on developments in data mining and the application of data science.
  • Develop and enhance functional procedures including review for actuarial soundness.
  • Establish model controls, monitoring, and meaningful human‑in‑the‑loop decision points to reduce automation bias and ensure appropriate oversight
  • Support risk mitigation and control design for AI use cases in Claims, including operational guardrails and exception handling.
  • Support implementation of best practices, risk mitigation, risk controls as well as process, policy and procedures for the actuarial/modeling function. 
  • Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.
  • Quantify value at stake and benefits (productivity, cycle time, leakage, accuracy) and track realized outcomes for deployed use cases.
  • Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
  • Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.

EMPLOYEE / TEAM

  • Lead cross‑functional delivery squads (Claims Ops SMEs, Product, Tech, Data) to drive from analysis to pilot to scaled implementation.
  • Provide day‑to‑day technical guidance to actuarial analysts / data scientists on model design, validation, and integration readiness.
  • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest.
  • Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
  • May supervise other team members / actuarial professionals and/or provide day-to-day work directions where appropriate.
  • Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
  • Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
  • Contribute to a fair, positive and equitable environment that supports a diverse workforce.

BREADTH & DEPTH

  • Demonstrated ability to translate advanced analytics into deployed decision support within Claims operations (workflow integration, adoption, monitoring).
  • Understands the industry, competition and the factors that differentiate the organization.
  • Integrates knowledge of the enterprise sub-function’s or business line’s overarching strategy in developing solutions across multiple functions or operations.
  • Acts as a technical expert / lead integrating cross-function understanding within their own field of specialty; may manage team(s) of related specialists.
  • Leads cross-functional teams or projects with significant resource requirements, risk and / or complexity.
  • Uses sophisticated analytical thought to exercise judgement and identify solutions.

EXPERIENCE & EDUCATION

  • Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
  • 8+ years of related experience.
  • Fellowship actuarial level is preferred.

Who We Are:

As part of TD Bank Group, one of Canada's largest financial institutions, at TD Insurance, we care for Canadian families, making it easy to get the best advice, protection, and support in their moments of need, always.

TD Insurance offers a wide range of products, including General Insurance and Life and Health. Everyday, we strive to make every interaction, product and experience remarkably human and refreshingly simple for more than four million customers who count on us.

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):

Maîtrise d’une langue autre que le français pour offrir du soutien ou traiter avec les clients qui ont besoin de services et de soutien dans une langue autre que le français.

Top Skills

Advanced Analytics
AI
Data Mining
Python
R

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