Data Scientist / Data Engineer Location: Toronto, ON

Onsite Flexibility: Hybrid — 3 days a week in office (Anchor Day: Wednesday)

Contract Details Position Type: Contract Contract Duration: 6 months (with potential for extension; conversion to permanent possible) Pay Rate: C$85.00–C$100.00 / 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 the project involves building transaction monitoring in Oracle, within a leading financial institution organization. The team consists of approximately 10 people, with a training period of 2–3 weeks.

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 Bachelor's degree in Computer Science or related field required; Master's degree ideally preferred (experience can compensate)

Required Experience 5 years of overall experience Financial institution (FI) background ideally preferred

Work Environment / Physical Requirements Approximately 1 hour per day spent in meetings Majority of interactions are internal, with some external Contractor will have access to customer data No rotation required

Important Notes Interview process: 1 round, in-person in Markham — panel interview with technical testing

About the Client Industry: Financial Services / Banking. Top 10 bank in Canada and North America offering comprehensive financial solutions. Providing retail, commercial, wealth management, and wholesale banking services, we help clients thrive in today's evolving market.

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: 26-08008 Industry: Data & Analytics

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