AML Data Scientist

AML Data Scientist

Location: Markham, ON

Onsite Flexibility: Hybrid 3 days a week in office (Wednesday anchor day)

Contract Details

• Position Type: Contract
• Contract Duration: 6 months (with potential for extension)
• Pay Rate: C$85.00 C$102.00 / Hour (CAD)
• Shift / Schedule: Monday Friday, core business hours; overtime as needed
• Travel Requirements: Not required

Job Summary

Reporting to the Senior Advanced Analytics Manager, the Data Scientist will be conducting all analytical activities related to AML transaction monitoring systems. The scope of this project centers on building transaction monitoring in Oracle within a team of approximately 10 people, supporting a leading financial institution organization.

Key Responsibilities

• Work independently to provide analysis, design, and support of technical data management solutions on various projects ranging in complexity and size
• Conduct data quality checks on raw or curated data on Oracle and Azure platforms
• Conduct activities related to customer segmentation, scenario initial threshold setting, and model performance monitoring
• Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements
• Execute quality control procedures to review end-to-end interim monitoring solutions, identify gaps, and support future-state implementation activities
• 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

• Expert-level proficiency in Python and SQL
• Advanced knowledge of query optimization, debugging, and automation
• Strong data exploration and analysis skills, with experience working with large-scale datasets
• Ability to apply statistical techniques and data mining tools to solve business problems
• Strong knowledge of and experience with data-driven or data-centric projects
• Strong collaboration and communication skills, with the ability to engage cross-functional teams, discuss complex data issues, and present findings clearly
• Proven ability to work effectively within large, collaborative teams and contribute as a strong team player
• Excellent multi-tasking skills: ability to adapt to and manage changing priorities

Preferred Skills

• Experience with SAS, Informatica, Tableau, and other relevant data analytics tools
• AML knowledge

Education Requirements

• Master's degree in computer science, data science, statistics, or a related field (ideally); substantial experience may compensate for formal education level

Required Experience

• 8 years of overall professional experience
• 5 years of SQL experience
• 5 years of experience applying statistical techniques and data mining tools to solve business problems
• 5 years of data exploration and wrangling experience
• 5 years of experience in query optimization, debugging, and automation
• 5 years of experience with Python
• 5 years of experience working in large, data-driven batch environments
• Background in financial institutions (FI) is preferred

Nice-to-Have Experience

• 1 year of AML experience
• Experience with Tableau
• Experience with SAS
• Experience with Informatica

Important Notes

• Interview process: 1 round, in-person in Markham, panel format with technical testing
• Contractor will have access to customer data
• Training period: approximately 2 3 weeks
• Conversion to permanent employment is possible

About the Client

This client is a top-10 North American bank providing comprehensive retail, commercial, and wealth management solutions, serving approximately 22 million customers across Canada, the United States, Europe, and the Asia-Pacific region. Headquartered in Toronto, Ontario, the institution operates a full-service financial platform including personal and commercial banking, wealth management, insurance, and payment solutions delivered through a team of over 85,000 employees worldwide. Teams include retail banking advisors, commercial lenders, wealth management professionals, risk analysts, and technology specialists such as data scientists and advanced analytics professionals.

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: 26-13019 Industry: Data & Analytics

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