Join TD's Canadian Fraud Performance Management Team as a Business Insights Analyst II. Drive change through analytics and big data in fraud management.
Responsibilities
Responsible for mining big data to discover actionable fraud insights
Develop and implement fraud strategies in a fast-paced environment
Manage evolving fraud threats while considering TD risk appetite, customer, and operational experience
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
Requirements
2+ years of hands-on experience in an analytical capacity
Advanced proficiency in SQL, Python for data analysis, automation, and reporting
In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent
Ability to communicate strategy analysis to both technical and non-technical team members
Undergraduate degree from a technical domain (e.g. computer science, engineering, mathematics, or statistics)
Benefits
Total Rewards package includes a base salary, variable compensation
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