Manager, AML Tuning and Optimization

In support of RBC's commitment to maintaining an effective enterprise AML Program, the AML Tuning & Optimization Analyst will support the ongoing refinement and enhancement of AML detection rules to improve effectiveness and efficiency. This role will be responsible for collecting relevant data, conducting in-depth analysis of rule tuning outcomes, identifying areas for optimization, and documenting all findings and recommendations to ensure a structured and well-documented decision-making process.

What is the opportunity?

In support of RBC's commitment to maintaining an effective enterprise AML Program, the AML Tuning & Optimization Analyst will support the ongoing refinement and enhancement of AML detection rules to improve effectiveness and efficiency. This role will be responsible for collecting relevant data, conducting in-depth analysis of rule tuning outcomes, identifying areas for optimization, and documenting all findings and recommendations to ensure a structured and well-documented decision-making process.

What will you do?

• Gather relevant data, reports, and system outputs necessary for AML rule tuning analysis.

• Conduct validation checks to ensure data accuracy and completeness before analysis.

• Perform analysis of rule tuning outcomes to assess detection effectiveness and efficiency.

• Identify patterns, anomalies, and potential gaps in existing AML detection rules.

• Evaluate false positive/negative rates and recommend adjustments to enhance rule performance.

• Provide data-driven insights on rule adjustments and potential enhancements.

• Collaborate closely with Senior Manager and other stakeholders to align AML tuning strategies with business needs.

• Stay informed of regulatory developments and industry best practices in AML rule tuning

What do you need to succeed?

Must-have

• 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.

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.

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

20 KING ST W:TORONTOTORONTOCanada37.5Full timeGROUP RISK MANAGEMENTRegularSalaried2025-03-242025-04-05

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.