Fraud Insights Analyst II

TD Bank Group

Ottawa

Hybrid

CAD 82,000 - 115,000

Full time

3 days ago
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Job summary

TD Bank Group in Ottawa, Ontario, is seeking a data analytics professional to join the Canadian Fraud Performance Management Team. The role focuses on mining big data to derive actionable fraud insights and to develop strategies for managing 1st and 3rd party fraud in a fast-paced environment.

You will work with SQL, Python and data science tools, monitor risks daily, and communicate outcomes to executives.

Qualifications

  • Advanced proficiency in SQL and Python for data analysis and reporting.
  • 2+ years of hands-on experience in an analytical capacity.
  • Knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent.
  • Ability to communicate strategy analysis to both technical and non-technical teammates.
  • Interest in fraud management and ability to work independently under tight timelines.

Responsibilities

  • 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

Skills

SQL
Python
Data analysis
Fraud analytics

Education

Undergraduate degree in technical domain

Tools

NumPy
pandas
matplotlib
R

Job description

TD Bank Group in Ottawa, Ontario, is seeking a data analytics professional to join the Canadian Fraud Performance Management Team. The role focuses on mining big data to derive actionable fraud insights and to develop strategies for managing 1st and 3rd party fraud in a fast-paced environment.

You will work with SQL, Python and data science tools, monitor risks daily, and communicate outcomes to executives.

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