Senior Business Analyst

Location: Toronto, ON

Onsite Flexibility: Hybrid - 2 days on-site, 3 days work from home

• Position Type: Contract
• Contract Duration: 1 year (with possibility of extension and conversion based on business needs and performance)
• Shift / Schedule: Monday – Friday, core business hours, 37.5 hours per week, 7.5 hours per day
• Travel Requirements: Not required

This role supports internal development initiatives focused on building enterprise data and AI solutions within the CIAM and Fraud Solutions business unit. The contractor will be part of a 7-person team and will be expected to follow a training path of TD onboarding, knowledge transfer/shadowing, and then hit the ground running. The position involves approximately 4 hours per day in meetings on average, with all interactions being internal. The contractor will have access to customer data. This is an excellent opportunity for anyone looking to grow toward a product owner or manager role on the AI side, with strong potential to network within a collaborative, agile, and fast-paced environment.

• Support projects requiring internal development and the build-out of enterprise data and AI solutions
• Engage in meetings and collaborate with internal stakeholders approximately 4 hours per day on average
• Handle day-to-day responsibilities across data and business analysis functions with flexibility
• Hit deliverables and timelines with a focus on quality of work

• 5 years of risk management within a financial institution (FI) or healthcare (highly regulated environments)
• 5 years of Business or Data Analyst experience (Bachelor's Degree) or 3 years of Business/Data Analyst experience (Master's Degree)
• Understanding of concepts of Project Management and Agile mindset (documentation, road mapping, etc.)
• Writing technical documentation skills
• Reading and writing code within Python and SQL
• Jira, Confluence, Clarity, SharePoint experience
• CoPilot experience
• Excellent communication skills (written and verbal)
• Well organized, strong time management
• Translating technical concepts into business acumen
• Open to being flexible with day-to-day work

• Any AI, Data Science, or Cloud certifications
• Data Science background

• Degree or Diploma is a must-have
• Master's degree is preferred (within Computer Science, Business Analysis, Data Science, or AI preferred)

• 10 years of overall experience (flexible)
• 5 years of risk management within a financial institution or healthcare (highly regulated environment)
• 5 years of Business or Data Analyst experience (with Bachelor's Degree), or 3 years of Business/Data Analyst experience (with Master's Degree)

• Background in Data Science
• Experience with AI, Data Science, or Cloud platforms supporting enterprise solutions

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

• Interview process: 1 step, virtual, 1 hour, 1-on-1 - evaluates both technical and soft skills
• Candidates with unexplained gaps or a pattern of multiple short contracts will be disqualified from consideration

This client is a leading financial services and banking institution operating across Canada and internationally, with a collaborative team culture that emphasizes agility, long-term growth, and innovation. The organization employs business analysts, data scientists, solutions developers, technology specialists, and AI practitioners across cross-functional teams, and places a strong emphasis on banking and regulatory compliance experience. The CIAM and Fraud Solutions division supports enterprise-scale data and AI initiatives, with teams that include approximately 7 professionals working across governance, risk, and internal development projects.

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: 26-16673 Industry: Operations & Management