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Added 4 mins ago
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Director, Chapter Lead, Mass Affluent
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- Full-time
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Conduct activities related to AML/ATF scenario performance tuning, machine learning execution and model performance monitoring
Added 1 hour ago
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Added 7 hours ago
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Robertson & Company Ltd.

IT - AML Developer IV

Toronto, ON, Canada

Contract Period: 6 months with potential to extend or convert Pay Rate: Starting from $76 per hour Location: Toronto, ON Location Type: Hybrid Business Hours: Monday-Friday, Core business hours · Contract

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Job details

Pay: Contract Period: 6 months with potential to extend or convert Pay Rate: Starting from $76 per hour Location: Toronto, ON Location Type: Hybrid Business Hours: Monday-Friday, Core business hours
Job type: Contract
Apply by: Nov 8, 2026
Education: Bachelor’s degree
Posting language: English
Posted: Oct 9, 2026

Original job description

Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking.

Introduction:
Robertson is seeking a skilled IT - AML Developer IV to join our client in support of an existing vacancy.

Contract Period: 6 months with potential to extend or convert
Pay Rate: Starting from $76 per hour
Location: Toronto, ON
Location Type: Hybrid
Business Hours: Monday-Friday, Core business hours

Job Responsibilities:

Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
Provide maintenance of transaction monitoring scenarios, and analytical queries in support of the bank's strategic efforts to mitigate money laundering and terrorist financing risk
Conduct activities related to AML/ATF scenario performance tuning, machine learning execution and model performance monitoring
Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements
With assistance from management, assist with transaction monitoring related issues/questions from Global AML members, audit, and other partners
Analytical thought leadership and staying ahead of developments in data mining and the application of data science
Partner with FCRM teams to implement changes to existing solutions and/or the implementation of alternative solutions and serve as an ambassador for data science
Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, customer behavior, and risk scoring models
Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you're doing
Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
Work with various business teams to help identify areas for improvement and provide insights using supporting data and models to support business strategies

Experience & Qualification Requirements:

Bachelor’s degree required
Extensive work experience building predictive models with machine learning methods
Expert knowledge of Python, Pyspark, Data Bricks, Azure and SQL are essential
Expert data explorations and analysis skills
Ability to apply statistical techniques and data mining tools to solve business problem
Any Data bricks, programming or statistics certifications
Java, Scala, tableau
AML knowledge and experience on data-driven or data-centered projects
Banking or financial institution experience

How to Apply: If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson & the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply.

Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.

We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.

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More about this job

Responsibilities

Lead the analysis, design, maintenance, and support of transaction-monitoring data solutions, scenarios, and analytical models to help mitigate money laundering and terrorist financing risks. Tune and monitor scenarios and models, support audit and compliance documentation, resolve stakeholder questions, and partner with business and FCRM teams to develop data-driven solutions.

Requirements

A bachelor's degree is required, along with extensive experience building predictive models using machine-learning methods and strong data exploration and analysis skills. Expert knowledge of Python, PySpark, Databricks, Azure, and SQL is essential; AML experience, financial institution experience, and Java, Scala, Tableau, or relevant certifications are also noted.

Skills

Python
PySpark
Databricks
Azure
SQL
Machine Learning
Predictive Modeling
Statistical Analysis
Data Mining
Transaction Monitoring
AML/ATF
Model Performance Monitoring
Data Science
Java
Scala
Tableau

Visa sponsorship

Not detected in the job text

Keywords

Anti-Money Laundering
Anti-Terrorist Financing
Transaction Monitoring
Predictive Modeling
Machine Learning
Statistical Techniques
Data Mining
Data Science
Data Exploration
Data Analysis
Scenario Performance Tuning
Model Performance Monitoring
Python
PySpark
Databricks
Azure
SQL
Java
Scala
Tableau
Risk Scoring
Customer Behavior Modeling
Financial Services
Regulatory Compliance
Audit Documentation
FCRM

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