Manager, AML Model Testing

RBC; Toronto; On-site; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Total rewards program

Flexible benefits

Career coaching and development

Job summary

RBC is seeking an AML Model Testing Manager to support its enterprise AML program, ensuring accuracy and reliability of model code through testing and validation. You will design unit/integration tests, review model design context, and document recommendations to improve model logic and performance.

The role involves exploring AI technologies for AML model testing, developing AI agent workflows, and establishing QA mechanisms in an AI-involved work environment.

Qualifications

• Hands-on experience with SQL, SAS, Python and Dataiku for data processing, querying and automation.
• Post-secondary education or equivalent.
• Strong analytical, logical, and critical thinking skills with the ability to design complex testcases that covers all scenarios.
• Effective communication and collaboration skills to work effectively with cross-functional teams.

Responsibilities

• Gather relevant test information and model white paper to understand the model’s design background and update context.
• Work with Testing Lead to determine the testing priorities based on business requirements, define the testing scope and methodology and develop a testing plan.
• Set up the testing environment and develop testing programs to use during testing.
• Use the model white paper as a guideline to conduct code logic validation, implementing coding standard checks, compare difference between code and documentation, ensuring the code adheres to best practices and passes an initial logic review.
• Design unit tests, covering normal cases, abnormal cases, and corner cases to verify that the code consistently produces correct results that meet business requirements under all circumstances.
• Develop integration tests as needed to ensure that different modules, components, or systems function correctly together.
• Provide reasons for test failures along with suggestions for improvement based on the testing results.
• Collaborate closely with stakeholders to facilitate issue resolution and ensure the model passes all test cases.
• Prepare a detailed and well-structured test report documenting the testing methodologies, designed test cases, identified code issues, and corresponding resolutions.
• Ensure compliance with regulatory and internal documentation standards.
• Evaluate the applicability of existing AI tools in AML model testing
• Explore AI Agent workflow implementations to automate routine testing operations, including code logic validation, compliance auditing, and intelligent unit test generation, thereby enhancing testing efficiency and reducing manual workload.
• Explore how to define decision boundaries for AI Agents and establish triggers for human review checkpoints.
• Collaborate closely with Senior Manager and other stakeholders to align AML testing strategies with business needs.
• Stay informed of industry best practices in AML model development testing.
• Support process improvements to enhance efficiency and robustness in AML model code testing.

Skills

SQL

SAS

Python

Dataiku

Education

Post-secondary education or equivalent

Bachelor's degree in Statistics, Mathematics, Engineering and Computer Science, or a related field

Tools

Dataiku

Job description

What is the opportunity?

In support of RBC’s commitment to maintaining a robust enterprise AML Program, the AML Model Testing Manager will support the ongoing AML model development testing process to ensure the accuracy and reliability of model code through comprehensive testing. This role will be responsible for reviewing model design/update context, conducting code logic/standard validation, designing unit/integration tests, providing actionable insights for improvement, and documenting all findings/recommendations to ensure the model logic correctness, and functionality as per design In addition to the core responsibilities outlined above, this position will explore and advance the application of emerging AI technologies in AML model testing. The role requires exploring and designing AI Agent workflows to automate portions of testing work, while establishing appropriate quality assurance mechanisms to ensure the accuracy and reliability of testing results in an AI-involved work environment.

Job Description

In support of RBC’s commitment to maintaining a robust enterprise AML Program, the AML Model Testing Manager will support the ongoing AML model development testing process to ensure the accuracy and reliability of model code through comprehensive testing. This role will be responsible for reviewing model design/update context, conducting code logic/standard validation, designing unit/integration tests, providing actionable insights for improvement, and documenting all findings/recommendations to ensure the model logic correctness, and functionality as per design In addition to the core responsibilities outlined above, this position will explore and advance the application of emerging AI technologies in AML model testing. The role requires exploring and designing AI Agent workflows to automate portions of testing work, while establishing appropriate quality assurance mechanisms to ensure the accuracy and reliability of testing results in an AI-involved work environment.

What will you do?

• Gather relevant test information and model white paper to understand the model’s design background and update context. Communicate with the development team to understand the testing requirements.
• Work with Testing Lead to determine the testing priorities based on business requirements, define the testing scope and methodology and develop a testing plan.
• Set up the testing environment and develop testing programs to use during testing.
• Use the model white paper as a guideline to conduct code logic validation, implementing coding standard checks, compare difference between code and documentation, ensuring the code adheres to best practices and passes an initial logic review.
• Design unit tests, covering normal cases, abnormal cases, and corner cases to verify that the code consistently produces correct results that meet business requirements under all circumstances.
• Develop integration tests as needed to ensure that different modules, components, or systems function correctly together.
• Provide reasons for test failures along with suggestions for improvement based on the testing results.
• Collaborate closely with stakeholders to facilitate issue resolution and ensure the model passes all test cases.
• Prepare a detailed and well-structured test report documenting the testing methodologies, designed test cases, identified code issues, and corresponding resolutions.
• Ensure compliance with regulatory and internal documentation standards.
• Evaluate the applicability of existing AI tools in AML model testing
• Explore AI Agent workflow implementations to automate routine testing operations, including code logic validation, compliance auditing, and intelligent unit test generation, thereby enhancing testing efficiency and reducing manual workload.
• Explore how to define decision boundaries for AI Agents and establish triggers for human review checkpoints.
• Collaborate closely with Senior Manager and other stakeholders to align AML testing strategies with business needs.
• Stay informed of industry best practices in AML model development testing.
• Support process improvements to enhance efficiency and robustness in AML model code testing.

What do you need to succeed?

Must-have

• Hands-on experience with SQL, SAS, Python and Dataiku for data processing, querying and automation.
• Post-secondary education or equivalent.
• Strong analytical, logical, and critical thinking skills with the ability to design complex testcases that covers all scenarios.
• Effective communication and collaboration skills to work effectively with cross-functional teams.

Nice-to-have

• Bachelor's degree in Statistics, Mathematics, Engineering and Computer Science, or a related field.
• Familiarity with machine learning or data science techniques.
• Practical experience using AI tools for code testing or software development

What’s in it for you?

We thrive on the challenge to be our best, thinking progressively 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
• 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 executives from many different parts of the organization

Job Skills

Anti Money Laundering Training, Business Perspective, Communication, Decision Making, Financial Regulation, Interpersonal Relationship Management, Operational Integrity, Organizational Governance, Process Management, Strategic Thinking

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: 2026-01-20

Application Deadline: 2026-09-12

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.