Data Scientist

RBC; Toronto; On-site; Full time

Job summary

A leading financial institution is seeking a Data Scientist to enhance their AML Transaction Monitoring program. The role involves developing analytics solutions, collaborating with various teams, and utilizing advanced data techniques to identify suspicious activities. This position offers the opportunity to make a significant impact in a high-performing team.

Benefits

Comprehensive Total Rewards Program

Flexible benefits

Competitive compensation

Qualifications

• Experience with supervised and unsupervised learning.
• Ability to analyze large datasets with Python.

Responsibilities

• Develop new AML Analytics solutions using machine learning.
• Maintain and improve existing AML solutions.
• Collaborate with teams to identify RBC risk exposure.

Skills

Data Science

Machine Learning

Python

Analytical Skills

Problem Solving

Communication

Education

Post-secondary education

Tools

SQL

GitHub

Job description

Join to apply for the Data Scientist role at RBC

Join to apply for the Data Scientist role at RBC

Job Summary

Explores and operationalizes big data sources using scientific processes and technologies to uncover and communicate product and business insights. Applies experience and seasoned knowledge, skills, and practices to perform a variety of assignments.

Job Summary

Explores and operationalizes big data sources using scientific processes and technologies to uncover and communicate product and business insights. Applies experience and seasoned knowledge, skills, and practices to perform a variety of assignments.

Job Description

What is the opportunity?

The Data Scientist, Transaction Monitoring 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 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?

• Develop new AML Analytics solutions with machine learning and data science techniques
• Present newly developed models with clear visualizations to the Director, AML Analytics
• Maintain and improve existing AML solutions
• Identify opportunities in applying new technologies to AML analytics
• Develop required documentation and monitoring methodology for developed models
• Provide recommendations to the Director, AML Analytics on any findings of model performance
• Collaborate with the team lead 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 Governance Committee
  
  

What do you need to succeed?

Must have

• Post-secondary education or equivalent
• 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
  
  

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
  
  

Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

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:

2025-05-16

Application Deadline:

2025-06-30

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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Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Banking and Financial Services

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