Manager, AML Assessments
20 KING ST W:TORONTO, Canada
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Job Summary
Job Description
What is the opportunity?
As Manager, Financial Crimes Risk Analytics you support the development, implementation, and maintenance of RBC’s Enterprise Anti-Money Laundering/Anti-Terrorist Financing (AML/ATF) Risk and Control Assessment data processes. Additionally, you are responsible for supporting enterprise initiatives related to risk assessments.
We are looking for an experienced and data driven Manager to support ongoing risk assessment processes and overall data management along with design, implementation and monitoring of data pipelines and risk assessment tools. This role will support the development teams for ongoing risk assessments specifically the technical and data portion of the assessment exercise which includes creation and monitoring of data pipelines, models, architecture and end-to-end process flows along with complicated partnership and stakeholder management across various risk functions.
This role is a combination of data and technical skills along with domain knowledge and solid interpersonal, communication and stakeholder management skills with the ability to work in a complex environment and a deep focus on time sensitive execution and deliverables.
What will you do?
- Responsible for supporting the implementation of the Enterprise AML/ATF Risk Assessment, specifically working on the underlying data models which are critical to complete the risk assessment
- Support execution of end-to-end risk assessment processes including data ingestion, transformation, modelling, reporting and visualization
- Play a key role in data collection/management and analysis/interpretation with focus on data review, validation and provide continuous support to resolve queries and requests from a regulatory and audit perspective
- Collaborate with various teams to ensure optimization, transformation, migration and scheduling of current and existing data pipelines and tools
- Manage stakeholder partnerships and perform the role of a key partner to various global risk assessment and management teams across different verticals of the bank
- Consolidating, monitoring and analyzing data, including the identification of outliers, trends, and potential data issues.
- Address complex problems and critical issues escalated from various teams, and effectively utilizing robust decision-making ability toward appropriate resolution
What do you need to succeed?
Must-have:
- Bachelor’s or Master’s degree in Analytics, Computer Science, MIS, Statistics or related field.
- 2–4+ years of experience in data analytics, process automation, modelling or technology roles, preferably in financial services risk management.
- Experienced in programming languages such as Python and/or similar frameworks and libraries and in OOP (Object Oriented Programming) concepts and methodology
- Working knowledge of Microsoft SQL Server/MySQL and other database tools and comfortable working with ETL frameworks like Databricks/Dataiku/Datameer
- Proficiency in BI tools e.g., Tableau/Power BI and advanced Excel capabilities including Pivot Tables and calculations
- Demonstrated ability to handle diverse range of data related issues in a concise and transparent manner and handle multiple validation exercises with optimum accuracy and within reasonable timeframe
- Ability to work with and handle complex data models and process pipelines from an analytical mindset to perform advanced data analysis
- Experience in data management methodology and best practices e.g., data validation techniques, modelling, aggregation and reporting
Nice-to-Have
- Familiarity with version control systems (e.g., Git), workflow orchestration (e.g., Airflow)
- CAMS, CSS or equivalent sanctions or AML certification.
- Knowledge of risk and control environments
- Knowledge of RBC business units, and core Financial Crimes processes
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
Anti-Money Laundering (AML), Communication, Data Gathering Analysis, Detail-Oriented, Financial Regulation, Fraud Risk Management, Group Problem Solving, Internal Controls, Operational Integrity, Process ManagementAdditional Job Details
Address:
20 KING ST W:TORONTOCity:
TORONTOCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
GROUP RISK MANAGEMENTJob Type:
RegularPay Type:
SalariedPosted Date:
2025-07-17Application Deadline:
2025-08-02Note: 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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Tags: Agile Airflow Architecture Computer Science Data analysis Data Analytics Databricks Data management Data pipelines ETL Excel Fraud risk Git MySQL OOP Pipelines Power BI Python SQL Statistics Tableau
Perks/benefits: Career development Competitive pay Flex hours Team events
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