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Data Scientist II

Job in Toronto, Ontario, M5A, Canada
Listing for: The Toronto-Dominion Bank (Canada)
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist, Machine Learning/ ML Engineer
  • Finance & Banking
    Data Scientist
Job Description & How to Apply Below

Description

:

About this Role

Are you passionate about analytics and working with big data? Want to drive change and become a subject matter expert in fraud management? If so, join the Canadian Fraud Performance Management Team.

You would be responsible for mining big data to discover actionable fraud insights, and to develop and implement fraud strategies in a fast paced environment. You would manage evolving fraud threats while taking into consideration TD risk appetite, Customer and operational experience. With strong technical, analytics background you would join the team to learn and manage 1 and 3 party fraud.

Accountabilities

Fraud Management

  • Develop and deploy product and channel-specific fraud strategies to reduce fraud risk balancing loss, Customer experience and operational capacity
  • Identify new fraud vectors and optimize existing rules using SQL, Python, and fraud authentication solutions
  • Conduct intra-day and weekly monitoring across products, channels, and risk segments
  • Provide ad-hoc analysis to support decision-making at the executive level
  • Continually optimize, improve, and strengthen fraud strategy and analytics capabilities
  • Independently investigate new, high-risk fraud threats under tight timelines
  • Job Requirements

  • Advanced proficiency in SQL, Python for data analysis, automation, and reporting
  • 2+ years of hands-on experience in an analytical capacity
  • Motivated to constantly strive to find innovative data-informed ways to enhance capabilities
  • In-depth knowledge of data science tools such as Num Py, pandas, matplotlib or R equivalent
  • Ability to communicate strategy analysis to both technical and non-technical team members
  • Passion and drive to take initiative and work independently under tight timelines
  • Ability to effectively manage multiple work streams and tasks at the same time
  • Undergraduate degree from a technical domain (e.g. computer science, engineering, mathematics, or statistics)
  • Preferable

  • Experience in fraud management is an asset
  • Machine learning development and deployment is an asset
  • Automation experience is an asset
  • 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.

    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…

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