Data Scientist, Global AML Transaction Monitoring

Job Description

Job Description What is your opportunity? 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 solutions Through quantitative and qualitative analysis establish thresholds and parameters used in monitoring solutions Present newly developed monitoring solutions with clear visualizations to the Senior Manager, Global AML Transaction Monitoring Data Science Identify opportunities in applying new technologies to AML Transaction Monitoring Expand Transaction Monitoring model coverage in Capital Markets, Wealth Management, and Investor Services Manage independent reviews (auditors, regulators, Model Validation etc) of monitoring solutions Act as SME for data requirements used in Transaction Monitoring solutions Provide recommendations to the Senior Manager, Global AML Transaction Monitoring Data Science on any findings of model performance Collaborate with the Senior Manager to prioritize development of monitoring solutions Collaborate with other Monitoring & Analytics teams to identify and remediate RBC risk exposure, and implement / tune transaction monitoring solutions as necessary to address risk Transaction monitoring innovation lead for new analytics/quantitative transaction monitoring methods and technologies What do you need to succeed? Strong data, analytical, quantitative method and problem-solving skills Expertise in analyzing and manipulating large datasets with Python Proficiency and familiarity with different SQL or HIVE databases and GitHub Strong capability in exploratory data analysis and feature development Hands on development experience on Dataiku is a plus Experience in using data visualizations to elaborate model performance with Python Understands project’s needs and ability to translate these into detection models Experience with supervised and unsupervised learning, and network analysis is a plus Proven excellent written and oral communication skills to convey complex concepts to a non-technical audience Knowledge of Banking products is a bonus (Cash Management, Equity, Fixed Income, Commodities, Derivatives, Wire, Electronic ACH, E-Transfer, etc..) Nice-to-have Graduate degree (MBA or relevant subject matter area) Certified Anti-Money Laundering Specialist (CAMS) designation or other related certification What’s in it for you?

Required Skills