Data Scientist

RBC; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading financial institution is seeking a Data Scientist for Transaction Monitoring to enhance its AML program. The role involves developing analytics solutions, analyzing data, and collaborating with various teams to mitigate risks. Ideal candidates will have strong analytical skills and experience with machine learning and data visualization.

Benefits

Comprehensive Total Rewards

Flexible benefits

Competitive salary

Stock options

Leadership support for development

Qualifications

• Strong analytical, quantitative, and problem-solving skills.
• Experience with supervised and unsupervised learning, network analysis, and NLP.

Responsibilities

• Develop new AML analytics solutions using machine learning and data science techniques.
• Collaborate with team leads to prioritize development efforts.
• Research industry best practices and emerging technologies.

Skills

Analytical

Problem Solving

Machine Learning

Natural Language Processing

Data Science

Commercial Acumen

Decision Making

Education

Post-secondary education

Graduate degree (MBA or relevant field)

Tools

Python

SQL

GitHub

Job description

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 responsible for developing and maintaining an efficient AML/ATF Transaction Monitoring program that aligns with regulatory expectations, industry trends, and innovation opportunities. Using sophisticated tools and techniques, the Data Scientist will develop and tune solutions to identify suspicious activities, analyze data to assess risks associated with RBC clients, and continuously seek ways to enhance the relevance and value of intelligence within the Global AML program.

What will you do?

1. Develop new AML analytics solutions using machine learning and data science techniques.
2. Present models with clear visualizations to the Director, AML Analytics.
3. Maintain and improve existing AML solutions.
4. Identify opportunities to apply new technologies to AML analytics.
5. Develop documentation and monitoring methodologies for models.
6. Provide performance feedback and recommendations on models to the Director, AML Analytics.
7. Collaborate with team leads to prioritize development efforts.
8. Work with Monitoring & Analytics teams to identify and mitigate risk exposure, and tune transaction monitoring solutions accordingly.
9. Partner with industry peers, external vendors, and business units to improve monitoring effectiveness.
10. Research industry best practices and emerging technologies for strategic use by the AML Governance Committee.

What do you need to succeed?

Must have

• Post-secondary education or equivalent experience.
• Strong analytical, quantitative, and problem-solving skills.
• Expertise in analyzing and manipulating large datasets with Python.
• Proficiency with SQL databases and version control tools like GitHub.
• Experience in data visualization to communicate model performance.
• Ability to translate project needs into detection models.
• Experience with supervised and unsupervised learning, network analysis, and NLP.
• Excellent written and oral communication skills for conveying complex concepts to non-technical audiences.

Nice to have

• Graduate degree (MBA or relevant field).
• Certified Anti-Money Laundering Specialist (CAMS) or related certification.

What’s in it for you?

We thrive on challenges, value progressive thinking, and work collaboratively to deliver trusted advice that helps clients and communities prosper. We support our employees’ growth, foster a respectful and inclusive environment, and aim for mutual success.

• Comprehensive Total Rewards, including bonuses, flexible benefits, competitive salary, commissions, and stock options.
• Leadership support for your development through coaching and opportunities.
• Chance to make a meaningful impact.
• Work in an agile, collaborative, high-performing team.
• Engage with senior executives across 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 with diverse perspectives is key to our growth. We foster a respectful environment where employees feel supported, can collaborate effectively, drive innovation, and grow professionally. We are committed to policies and programs that promote respect, belonging, and opportunity for all.

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About the company

Royal Bank of Canada (RBC) is a diversified financial services company offering personal and commercial banking, wealth management, insurance, investor services, and capital markets products globally.