T

TD Bank

Offers banking, loans, and wealth management.

Data Scientist 1 - Quants, Insurance Model Validation

Quantitative RiskConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaCA$81.6k - CA$115.2kIn-person

About the Job

Requirements

  • A post-secondary degree in Actuarial Science, Statistics, AI/ML, or Financial Engineering.
  • Fellow or Associate status with the Society of Actuaries, the Casualty Actuarial Society, or the Canadian Institute of Actuaries.
  • In-depth knowledge of machine learning and artificial intelligence modelling, and proficiency in programming languages and software for AI/ML modelling.
  • Excellent verbal and written communication skills, time and project management skills, and the ability to multitask with minimal supervision.

Responsibilities

  • Conduct independent validation of a variety of TDI insurance models.
  • Conduct validation testing and analysis for different FCRM models under Senior Manager or Manager supervision to support business initiatives and regulator requirements.
  • Communicate with stakeholders from the first line to discuss and resolve model limitations or issues identified during validation.
  • Deliver high-quality model validation reports with adequate information and justification to support validation conclusions and Audit or regulator review and assessment of the validation process and analysis.
  • Maintain professional knowledge of techniques and developments in actuarial methodology and machine learning and artificial intelligence modelling for insurance.
  • Develop validation testing tools and programs to assess advanced AI/ML models.
  • Work in an interactive, team-oriented environment with Big Data developers and analytical experts.
  • Stay current on developments in actuarial methodology and machine learning and artificial intelligence modelling for insurance.
  • Work closely with key stakeholders to conduct validations on time and support business initiatives.
  • Execute the validation plan and deliver results aligned with enterprise model validation procedures and model risk policy.
  • Share knowledge, information, skills, and subject matter expertise within the team; collaborate with other functions and teams to complete validation efficiently and escalate identified issues in a timely manner.

Desired Qualifications

  • At least one year of experience at a top 10 Canadian property and casualty insurer developing or validating a new pricing and rating solution, with exposure to AI/ML modelling.
  • Experience modelling or validating multiple product lines, including life and general insurance (auto/property), for IFRS 17 liability/reserve, stress testing, ORSA, or catastrophe models.

About the Company

TD Bank

Offers banking, loans, and wealth management.

TD Bank provides a wide range of banking and financial services in North America for individuals, businesses, and corporations. Core offerings include checking and savings accounts, credit cards, loans, mortgages, investment products, and wealth management. TD Bank emphasizes digital banking through online and mobile apps that let customers manage money, pay bills, deposit checks, transfer funds, and manage cards. Revenue comes from interest on loans, service fees, and investment income. The company differentiates itself with a broad product lineup, large North American footprint, and integrated services for both personal and business customers, plus a focus on digital accessibility. Its goal is to be a leading, accessible financial institution that helps customers manage and grow their money through convenient, everyday banking and investment solutions.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1955

Recently Posted Jobs

Explore more opportunities at TD Bank

See more jobs