JOB DESCRIPTION:

We are seeking a Reporting Data Analyst - Data Scientist to support our Regulatory and Anti-Money Laundering (AML) business teams with accurate data and insights in the Analytics, Insights and artificial Intelligence (AI2) team.

JOB REQUIREMENTS:

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science) Graduate’s degree preferred with progressive project work experience
• 3+ year of relevant experience; higher degree education and research tenure can be counted.
• Technical Skills:
• Coding: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL (writing complex queries, stored procedures, data extraction).
• Data Visualization: Experience with Tableau and/or Power BI reporting.
• Experience with cloud-based data platforms (Azure etc.)
• Data Handling: Experience working with large datasets, compliance data, and transactional records.
• Strong analytical mindset, problem-solving abilities, and ability to translate data insights into business recommendations.

WHO WE ARE:

TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

THIS ROLE IS CRUCIAL IN DEVELOPING AND AUTOMATING REPORTS AND PROVIDING DATA-DRIVEN INSIGHTS TO ENSURE COMPLIANCE WITH FINANCIAL REGULATIONS AND STRENGTHEN AML MONITORING EFFORTS. THE IDEAL CANDIDATE WILL REQUIRE:

• strong data visualization and data wrangling
• expertise in SQL, Python, Tableau, Power BI
• experience working with large datasets.

KEY RESPONSIBILITIES

• Regulatory & AML Reporting: Develop and maintain dashboards and reports to track suspicious activity, risk exposure, and compliance adherence.
• Data Analysis & Insights: Analyze transaction data to identify money laundering patterns, fraudulent activities, and regulatory risks.
• Coding & Automation: Use SQL and Python to automate regulatory and AML reporting processes, improving efficiency and accuracy.
• Data Visualization: Design interactive dashboards in Tableau and/or Power BI to help compliance teams monitor key AML metrics and regulatory trends.
• Collaboration: Partner with AML investigators, compliance officers, risk teams, and auditors to enhance regulatory reporting and fraud detection strategies.