Data Scientist II (Financial Crimes) - Python/SQL/Tableau/ETL/Azure/PowerBI

TD Bank Group is one of the world's leading financial institutions, and they are seeking a Data Scientist II to join their Financial Crimes Analytics & Insights Team. This role involves collecting data and utilizing various data science techniques to uncover actionable insights that help combat financial crime risks. Leverage various statistical and advanced techniques to identify emerging risks, patterns and typologies to predict financial crime activities and risks. Conduct ad hoc analyses to address business and regulatory body questions or inquiries, provide actionable insights. Develop and maintain scalable data model to support the analytics framework. Translate data into consumable insights, and present findings to businesses, gather of feedback, and integrate feedback to improve predictions. Work with partners from AMCB AI2 and AMCB DaaS to explore new data sets and how they can be leverage for financial crimes. Based on the above, develop interactive, self-service solutions to arm business users the information needed to conduct review and spot outliers.

TD Bank Group (TD) is one of the world's leading financial institutions, with more than 85,000 employees in offices around the globe. The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group (TD). TD offers a full range of financial products and services to over 26 million customers worldwide through three key business lines: Canadian Retail, U.S. Retail and Wholesale Banking.