Data Scientist, AML Analytics

RBC • Toronto, ON

2d • Onsite

About The Position

The Data Scientist, AML Analytics is mandated to 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 the Senior Data Scientist of Global AML Transaction Monitoring will 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.

Requirements

• Strong data, analytical, quantitative method and problem-solving skills
• Expertise in analyzing and manipulating large datasets with Python
• Proficiency and familiarity with different SQL databases and GitHub
• 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, network analysis, and NLP
• Proven excellent written and oral communication skills to convey complex concepts to a non-technical audience
• Strong capability in exploratory data analysis and feature development
• Knowledge and continuous updating of AI tools and their effective application in workflows

Nice To Haves

• Graduate degree (MBA or relevant subject matter area)
• Certified Anti-Money Laundering Specialist (CAMS) designation or other related certification
• Knowledge of Banking products is a bonus (Wire, E-Transfer, Equity, Electronic ACH, etc..)

Responsibilities

• Enhance AML Analytics solutions with advanced network analysis features
• Develop new AML Analytics solutions with machine learning and data science techniques
• Explore Network Analysis techniques and methodologies and apply them to AML monitoring
• Present newly developed models with clear visualizations to the Senior Data Scientist and/or Director, AML Analytics
• Identify opportunities in applying new technologies to AML analytics
• Develop required documentation and monitoring methodology for models
• Provide recommendations to the Senior Data Scientist and/or Director, AML Analytics on any findings of model performance
• Collaborate with the Senior Data Scientist and/or Director, AML Analytics 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
• Collaborate with business partners, industry peers and external vendors to improve effectiveness and efficiency of transaction monitoring program
• Identifying industry best practices and new technologies for strategic consideration by the AML Monitoring and AML Governance Committee

Benefits

• bonuses
• flexible benefits
• competitive compensation
• commissions
• stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in an agile, collaborative, progressive, and high-performing team
• The opportunity to interface with senior level executives from many different parts of the organization

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed