AML Data Scientist

Location: Markham ON

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

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

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.

• 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

• 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

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

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

• 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

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

• Interview process: 1 round in-person in Markham panel format with technical testing
• Contractor will have access to customer data
• Training period: approximately 23 weeks
• Conversion to permanent employment is possible

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 85000 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.

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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