Manager, AML Tuning and Optimization

20 KING ST W:TORONTO, Canada

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Job Description

What is your opportunity?

You will play a critical part in ensuring the effectiveness and efficiency of our AML models by supporting rule tuning, threshold optimization, and documentation efforts.

What will you do?

  • Review, analyze and tune AML models in alignment with regulatory expectations and internal risk-based approaches.

  • Draft clear, concise, and structured documentation of analysis, findings, and recommendations to support tuning decisions.

  • Collaborate with model owners, compliance teams, and technical teams to ensure alignment of tuning outcomes with AML typologies and business context.

  • Support periodic model performance reviews and contribute to documentation required for model governance.

What do you need to succeed?

  • Familiarity with model tuning concepts

  • Strong analytical and critical thinking skills with the ability to interpret complex data and derive actionable insights.

  • Hands-on experience with SQL and Python for data analysis, querying, and automation.

  • Effective communication and collaboration skills to work effectively with cross-functional teams.

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

Nice-to-have

  • Familiarity with machine learning or data science techniques.

  • Experience working with AML systems such as Actimize, Mantas, or similar platforms

  • Familiarity with common AML typologies and regulatory expectations.

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

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:

2025-08-01

Application Deadline:

2025-08-16

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Computer Science Data analysis Engineering Machine Learning Mathematics Python SQL Statistics

Perks/benefits: Career development Flex hours Team events

Region: North America
Country: Canada

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