Data Scientist

Job Description

What is the opportunity?

The Data Scientist, AML Analytics is mandated to develop and maintain an efficient and effective AML Analytics program that considers regulatory expectations, industry trends and innovation opportunities. Utilizing sophisticated tools and techniques the Data Scientist of AML Analytics 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?

• Develop new AML Analytics solutions with machine learning, data science, and graph techniques

• Explore Network Analysis techniques and methodologies

• Present newly developed analytics and/or solutions to the Director, AML Analytics

• Identify opportunities in applying new technologies to AML monitoring

• Develop required documentation and monitoring methodology for developed models

• Collaborate with other Monitoring & Analytics teams to identify and remediate RBC risk exposure, and implement / tune transaction monitoring solutions as necessary to address risk

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 SQL, Hadoop databases and GitHub

• Understands project's needs and ability to translate these into detection models

• Proven excellent written and oral communication skills to convey complex concepts to a non-technical audience

Nice-to-have

• Experience in using data visualizations to elaborate model performance with Python

• Hands on development experience on Scala/Spark is a plus

• Experience with supervised and unsupervised learning, network analysis, and NLP

• Strong capability in exploratory data analysis and feature development

• Experience in deploying Gen-AI pipelines

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.

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team.

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Job Skills

Big Data Management, Data Analysis, Data Science, Decision Making, Exploratory Data Analysis (EDA), Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Unsupervised Learning

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:

2025-10-24

Application Deadline:

2025-11-15

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

Inclusion and Equal Opportunity Employment

At 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.

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