Senior Business Analyst

Job summary

Support internal development projects building enterprise data and AI solutions within the CIAM and Fraud Solutions business unit. Collaborate with internal stakeholders, manage day-to-day data and business analysis work, and deliver quality outcomes on schedule.

Job details

Senior Business Analyst Location: Toronto, ON Onsite Flexibility: Hybrid — 2 days on-site, 3 days work from home Contract Details 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 Job Summary 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. Key Responsibilities 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 Required Skills 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 Preferred Skills Any AI, Data Science, or Cloud certifications Data Science background Education Requirements Degree or Diploma is a must-have Master's degree is preferred (within Computer Science, Business Analysis, Data Science, or AI preferred) Required Experience 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) Nice-to-Have Experience Background in Data Science Experience with AI, Data Science, or Cloud platforms supporting enterprise solutions Medical, Vision, and Dental Insurance Plans 401k Retirement Fund Important Notes 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 About the Client 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. 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: 26-16673 Industry: Operations & Management

What you’ll do

Support internal development projects building enterprise data and AI solutions within the CIAM and Fraud Solutions business unit. Collaborate with internal stakeholders, manage day-to-day data and business analysis work, and deliver quality outcomes on schedule.

Requirements

Requires 10 years of overall experience, including 5 years in risk management in a financial institution or healthcare setting and relevant business or data analyst experience. Candidates need a degree or diploma, knowledge of Agile and project management concepts, technical documentation skills, Python and SQL coding ability, and experience with Jira, Confluence, Clarity, SharePoint, and Copilot.

Benefits

• Medical Insurance
• Vision Insurance
• Dental Insurance
• 401k Retirement Fund

Listed skills

• Time management · Preferred
• Technical Documentation · Preferred
• SQL · Preferred
• Data analysis · Preferred
• SharePoint · Preferred
• Jira · Preferred
• Risk Management · Preferred
• Communication · Preferred
• Business analysis · Preferred
• Project management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Risk Management
• Business Analysis
• Data Analysis
• Project Management
• Agile Methodology
• Technical Documentation
• Python
• SQL
• Jira
• Confluence
• Clarity
• SharePoint
• Copilot
• Communication
• Time Management
• Translating Technical Concepts into Business Terms

Job areas

• Data & Analytics
• Technology
• Finance & Accounting
• Management & Leadership

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