Data & Reporting Analyst developing dashboards and reports using BI tools like Power BI/Tableau. Collaborating across teams to provide insights and improve reporting efficiencies.
About the role
- 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
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
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