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Added 11 mins ago
MC
Technical Business Analyst – Syndigo PIM MDM (35930)
Myticas Consulting
Canada
- Contract
You will work as a co-equal lead alongside another BA, with full ownership of your workstreams. You should be able to learn new platform capabilities quickly, assess requirements…
Added 11 mins ago
MC
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Added 41 mins ago
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Added 3 hours ago
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RQ00833 – Program Manager – Senior
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S M Software Solutions Inc
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The Director will lead organizational change and influence leaders at all levels of the organization to embed safety, risk management, prevention, and employee well-being into strategic and…
Added 17 hours ago
CO
Manager, Digital Solutions
City of Saint John
Saint John, NB
- Full-time
…the City’s enterprise applications, digital solutions, and data and information management functions. This role ensures that corporate systems - including major enterprise systems and other…
Added 17 hours ago
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Application & Integration Technical Analyst
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- Full-time
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Added 17 hours ago
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Added 17 hours ago
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Added 18 hours ago
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Added 19 hours ago
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Royal Bank of Canada

Lead Data Scientist, AML Analytics

Toronto, ON, M9W 0A4, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 14, 2026
Experience: 5+ years of experience conducting in-depth data analytics
Posting language: English
Posted: Oct 19, 2026

Original job description

Job Description

WHAT IS THE OPPORTUNITY?

As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory expectations, industry trends and innovation opportunities. You will be required to develop and tune new and existing solutions used to identify suspicious activity, analyze data to identify RBC clients who present an elevated level of risk (financial & reputational) and continuously look for opportunities to provide more relevant and valuable intelligence to the Global AML program.

WHAT WILL YOU DO?

Develop, tune, and maintain existing AML Transaction Monitoring machine learning, rule-based solutions
Develop new AML Transaction Monitoring solution using data science techniques
Develop validation-ready model documentation and monitoring methodology for models, in adherence to Enterprise Model Risk Management Standards
Create and document model performance metrics, and provide recommendations to the Director, Transaction Monitoring on any findings of model performance
Collaborate with the Director, Transaction Monitoring to prioritize development of monitoring solutions
Collaborate with other Monitoring & Analytics teams to identify and remediate RBC risk exposure, and implement / tune transaction monitoring solutions as necessary to address risk
Collaborate with business partners and internal stakeholders to improve effectiveness and efficiency of transaction monitoring program
Identify opportunities in applying new technologies to AML analytics
Identifying industry best practices and new technologies for strategic consideration by the AML Monitoring and AML Governance Committee

WHAT DO YOU NEED TO SUCCEED?

Must have:

5+ years of experience conducting in-depth data analytics
University or Master degree in an analytical field of study (e.g. Computer Science, Engineering, Mathematics, Statistics, or related quantitative field).·
Expertise in analyzing and manipulating large datasets with Python and Scala/Spark·
Proficiency and familiarity with different SQL, Hive databases and GitHub·
Strong capability in exploratory data analysis and feature development·
Understanding of AML and Financial Crime Fundamentals·
Strong solution-oriented mindset, capable of synthesizing technical, operational and business context into clear understanding of how models operate·
Exceptional attention to detail across documentation, testing artifacts, and quantitative analysis·
Strong written and verbal communication skills; capable of explaining model risk analytics findings to both technical and non-technical stakeholders, as well as tell stories with data meaningfully·
Understands project’s needs and ability to translate these into detection models

Nice to have

Specific experience in Financial Crime or Transaction Monitoring Analytics roles
Experience working in specific business or financial industry data domains (i.e. Capital Markets, Wealth Management)
Experience with supervised and unsupervised learning, and NLP preferred

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 a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Opportunities to do challenging work. Opportunities to take on progressively greater accountabilities. Opportunities to building close relationships with clients
Access to a variety of job opportunities across business and geographies.

Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), 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:

2026-10-19

Application Deadline:

2026-11-14

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.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply About employer

More about this job

Responsibilities

Develop, tune, and maintain machine learning and rule-based AML transaction monitoring solutions to identify suspicious activity. Collaborate with stakeholders to prioritize development and ensure adherence to enterprise model risk management standards.

Requirements

Requires at least 5 years of experience in data analytics and a university or master's degree in a quantitative field. Proficiency in Python, Scala, Spark, and SQL is essential, along with a strong understanding of AML and financial crime fundamentals.

Skills

Data analytics
Python
Scala
Spark
SQL
Hive
GitHub
Exploratory data analysis
Feature development
Machine learning
Transaction monitoring
Financial crime
Model risk management
Data science
NLP
Supervised learning

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Professional development coaching
Training program

Visa sponsorship

Not detected in the job text

Keywords

Data Science
AML
Transaction Monitoring
Machine Learning
Python
Scala
Spark
SQL
Hive
GitHub
Financial Crime
Model Risk Management
NLP
Supervised Learning
Unsupervised Learning
Data Analytics
Regulatory Compliance
Risk Management
Capital Markets
Wealth Management
Feature Engineering
Quantitative Analysis
Predictive Analytics
Big Data
Actuarial Modeling

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