Data Scientist, Transaction Monitoring As Data Scientist, Transaction Monitoring, you will develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry trends and innovation opportunities. Utilizing sophisticated tools and techniques, you will also develop and tune new and existing solutions used to identify suspicious activity, analyze data to identify RBC clients who present an elevated level of risk (financial & reputational) and continuously look for opportunities to provide more relevant and valuable intelligence to the Global AML program.What will you do? Develop, maintain, and improve Transaction Monitoring solutions with data science techniques as well as related Model White Papers for all Transaction Monitoring solutionsThrough quantitative and qualitative analysis establish thresholds and parameters used in monitoring solutionsPresent newly developed monitoring solutions with clear visualizations to the Senior Manager, Global AML Transaction Monitoring Data ScienceIdentify opportunities in applying new technologies to AML Transaction MonitoringExpand Transaction Monitoring model coverage in Capital Markets, Wealth Management, and Investor ServicesManage independent reviews (auditors, regulators, Model Validation etc)



of monitoring solutionsAct as SME for data requirements used in Transaction Monitoring solutionsProvide recommendations to the Senior Manager, Global AML Transaction Monitoring Data Science on any findings of model performanceCollaborate with the Senior Manager to prioritize development of monitoring solutionsCollaborate with other Monitoring & Analytics teams to identify and remediate RBC risk exposure, and implement / tune transaction monitoring solutions as necessary to address riskTransaction monitoring innovation lead for new analytics/quantitative transaction monitoring methods and technologiesWhat do you need to succeed? Must Have Solid data, analytical, quantitative method and problem-solving skillsExpertise in analyzing and manipulating large datasets with PythonProficiency and familiarity with different SQL or HIVE databases and Git HubStrong capability in exploratory data analysis and feature developmentExperience in using data visualizations to elaborate model performance with PythonUnderstands project's needs and ability to translate these into detection modelsExperience with supervised and unsupervised learning, and network analysis is a plusProven excellent written and oral communication skills to convey complex concepts to a non-technical audienceKnowledge of Banking products is a bonus (Cash Management, Equity, Fixed Income, Commodities, Derivatives, Wire, Electronic ACH, E-

📌 Data Scientist, Global Aml Transaction Monitoring (Toronto)
🏢 RBC
📍 Toronto