Manager, Analytics and Insights; Financial Crimes Network Analytics

Work Location:

Toronto, Ontario, Canada

37.5

Analytics, Insights, & Artificial Intelligence

$96,900 - $136,800 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Please note this is an Individual Contributor role with no People Management asccountabilities at this time. It is in-office 3 days per week.

Join the Advanced Analytics & Insights team within Financial Crimes Risk Management (FCRM) Canada to advance an innovative Financial Crimes Network Threat Detection & Prioritization capability.

This high-impact initiative focuses on uncovering hidden high-risk customer connections that conventional detection methods often miss, enabling effective risk identification, prioritization, and strategic insights.

The Analytics & Insights Manager will lead the enhancement & operationalization of this detection capability, primarily including developing and accessing analytical detection methods, generating risk insights and actionable recommendations.

• Translate financial crime typologies into detection strategies, generate hypothesis, design analytical approaches, develop querying logic, and validate findings through data analysis.
• Perform periodic Exploratory Data Analysis to identify emerging risk patterns, customer characteristics, and risk operation insights.
• Synthesize and present data-driven findings and recommendations to technical and non-technical audiences.

• Assess coverage and performance of existing models/analytical solutions, and identify potential gaps or opportunities for enhancement.
• Develop compelling visualizations and presentations that communicate analytical findings in an intuitive and decision-oriented manner.

• Translate business problems into structured analytical problems and develop practical solutions
• Conduct ad-hoc analysis including such as root-cause analysis and impact analysis to meet business objectives
• Perform independent analytical review and effective challenge of existing methodologies and analytical solutions; assess assumptions, data, results, and business implications and provide constructive recommendations for enhancement.
• Contribute to documentation, governance, controls, and ongoing monitoring required

• Serve as an analytical partner to financial crime subject-matter experts, investigators, EDD teams, data scientists, technology teams, and other stakeholders.
• Bridge financial crime business requirements and analytical execution by translating domain problems into clear analytical questions and requirements.
• Develop process to coordinate various stakeholders for recurring activities.

• Core skills: SQL, Python for data analytics; statistical thinking and problem solving; data-driven story telling skills, visualizations tool Tableau/Power BI. Mathematical / statistical modelling experience, AI agentic experience are bonus.
• Domain knowledge:
  Anti-financial crime (money laundering, terrorist financing), regulatory and governance knowledge and working experience are beneficial but not required; training and guidance will be provided.
• Education:
  
  Bachelor's degree in STEM (e.g., Science, Technology, Engineering, Mathematics, Statistics, Data Science, Economics).
• Work Experience:
  
  2-3 years or above, intern / co-op experience in analytical fields is…