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Global Technical Talent, an Inc. 5000 Company

AML Developer

Toronto, ON, Canada

$85 to $103 CAD / hour · Contract

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Job details

Pay: $85 to $103 CAD / hour
Job type: Contract
Apply by: Nov 8, 2026
Working hours: 37.5 hours per week
Posting language: English
Posted: Oct 9, 2026

Original job description

AML Developer IV

Location: Toronto, ON

Onsite Flexibility: Hybrid - 3 days in office, 2 days work from home (could potentially go to 4 days in office)

Contract Details

Position Type: Contract
Contract Duration: 6 months (with possibility of extension and conversion based on business needs and performance)
Pay Rate: C$85.00–C$103.00 / Hour (CAD)
Shift / Schedule: Monday–Friday, core business hours, 37.5 hours per week, 7.5 hours per day
Travel Requirements: Not required

Job Summary

Reporting to the Senior Advanced Analytics Manager, the Data Scientist will be conducting all analytical activities related to FCRM transaction monitoring systems. The scope of the project encompasses data science initiatives focused on enhancing operational efficiencies, adding risk elements to investigation, and adding models and rules for monitoring requirements, including data analysis and model development. The team consists of 16 people and operates in a very collaborative culture. This is a senior lead role requiring the ability to work independently, manage and direct activities related to analysis, design, and support of technical data management solutions on various projects ranging in complexity and size. The contractor will have access to customer data. TD onboarding and knowledge transfer will be provided during the training period.

Key Responsibilities

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
Provide analytical thought leadership and stay 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, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work
Act as 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

Required Skills

Extensive work experience building predictive models with machine learning methods
Expert knowledge of Python, PySpark, Databricks, Azure, and SQL
Expert data exploration and analysis skills
Ability to apply statistical techniques and data mining tools to solve business problems
Strong communication skills (written and verbal)
Strong interpersonal skills
Self-motivated, well organized, able to work both independently and in a team environment
Attention to detail; self-starter and adaptable

Preferred Skills

Any Databricks, programming, or statistics certifications
Java, Scala, Tableau
AML knowledge and experience on data-driven or data-centered projects
Banking or financial institution experience

Education Requirements

Bachelor's degree or higher in Statistics, Computer Science/Software Engineering required
Master's degree preferred
Databricks, programming, or statistics certifications are an asset

Required Experience

8 years of overall experience

Work Environment / Physical Requirements

Anchor days: Markham – Monday; Toronto – Wednesday
Approximately 2 hours per day spent in meetings on average
All interactions are internal to the organization

About the Client

This client is a leading financial services and banking institution, headquartered in Toronto, Ontario, and recognized as one of North America's largest financial institutions - the sixth-largest bank on the continent by branches - serving approximately 22 million customers across Canada, the United States, Europe, and the Asia-Pacific region. With a team of over 85,000 employees worldwide, the organization operates a full-service financial platform spanning personal and commercial banking, wealth management, insurance, and payment solutions. Teams here include retail banking advisors, commercial lenders, wealth management professionals, risk analysts, and technology specialists - including data scientists, AML developers, and IT professionals who collaborate in fast-paced, team-oriented environments built around long-term career development and inclusion.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-15988 Industry: Software Engineering

#gttca

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More about this job

Responsibilities

Maintain and tune AML/ATF transaction monitoring scenarios, analytical queries, and machine learning models, while supporting performance monitoring and audit-ready documentation. Partner with FCRM and business teams to resolve monitoring issues, identify improvements, and develop data-driven solutions that mitigate money laundering and terrorist financing risks.

Requirements

Requires at least 8 years of overall experience, extensive experience building predictive machine learning models, and expert knowledge of Python, PySpark, Databricks, Azure, and SQL. A bachelor's degree or higher in Statistics, Computer Science, or Software Engineering is required; a master's degree is preferred, and banking or AML experience is an asset.

Skills

Machine Learning
Predictive Modeling
Python
PySpark
Databricks
Azure
SQL
Statistical Analysis
Data Exploration
Data Mining
Transaction Monitoring
AML/ATF
Model Performance Monitoring
Risk Scoring
Analytical Communication

Visa sponsorship

Not detected in the job text

Keywords

AML
ATF
Financial Crime Risk Management
Transaction Monitoring
Machine Learning
Predictive Modeling
Python
PySpark
Databricks
Azure
SQL
Java
Scala
Tableau
Statistical Techniques
Data Mining
Data Exploration
Model Development
Model Performance Monitoring
Scenario Performance Tuning
Risk Scoring
Customer Behavior Modeling
Analytical Queries
Audit Compliance
Regulatory Requirements
Banking
Data Science
Data Management Solutions

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