Data Scientist II
Description
The Data Scientist II will join the Canadian Fraud Performance Management Team at TD Bank, focusing on leveraging big data to uncover actionable fraud insights. Responsibilities include developing and deploying fraud strategies, optimizing existing rules, monitoring fraud across various products and channels, and providing analytical support for executive decisions, all within a fast-paced environment. The role involves managing evolving fraud threats while balancing risk, customer experience, and operational capacity.
What We're Looking For
Develop and deploy product and channel-specific fraud strategies to reduce risk.,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 executive-level decision-making.,Continually optimize, improve, and strengthen fraud strategy and analytics capabilities.,Independently investigate new, high-risk fraud threats under tight timelines.
Ideal Candidate
Undergraduate degree from a technical domain (e.g., computer science, engineering, mathematics, or statistics).,Preferable: Experience in fraud management, machine learning development and deployment, automation experience.
Minimum Education
Undergraduate Degree
Hard Skills
Soft Skills
Work Hours
37.5 hours/week
Benefits
About the Company
The Toronto-Dominion Bank
The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group, one of the largest banks in North America. TD provides a wide range of personal, commercial, and investment banking products and services to over 27 million customers globally. Headquartered in Toronto, Canada, the bank operates through key segments including Canadian Retail, U.S. Retail, and Wholesale Banking.
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