Job Description

What is the opportunity?

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.

What will you do?

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 current technologies for strategic consideration by the AML Monitoring and AML Governance Committee

What do you need to succeed?

Must have





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 Git Hub

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

Knowledge of Banking products is a bonus (Wire, E-Transfer, Equity, Electronic ACH, 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?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and 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

#LI-Post

Job Skills

Anti-Money Laundering (AML), Business Perspective, Client Counseling, Communication, Decision Making, Financial Regulation, Fraud Risk Management, Group Problem Solving, Internal Controls, Operational Integrity

Additional Job Details

Address: 20 KING ST W:TORONTO

City: Toronto
Country: Canada
Work hours/week: 37.5
Employment Type: Full time
Platform: GROUP RISK MANAGEMENT
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-06-18

Application Deadline: 2026-07-01

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world.

Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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📌 Data Scientist, AML Analytics (Toronto)
🏢 ODAIA
📍 Toronto