Senior Business Analyst

Location: Toronto, ON

Onsite Flexibility

Hybrid — 2 days on-site, 3 days work from home. Anchor days are flexible.

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 is a specialized Business Analyst role supporting AI, machine learning, and advanced analytics projects, with a strong focus on model documentation, validation documentation, and business operations. The hiring manager will prioritize candidates with data science or data analytics experience who understand machine learning models and can explain the model development lifecycle.

Business

Analysts with genuine AI/data project exposure are also suitable. Candidates' understanding of model development, risk management, SQL/Python code, and their ability to explain technical concepts clearly will be assessed. The contractor will have access to customer data and will interact primarily with internal stakeholders, spending approximately 4 hours per day in meetings. The scope of the project involves internal development to build enterprise data and AI solutions, within a team of 7 people. This is not a model development or coding role. Candidates must understand the technical content they document rather than rely entirely on AI-generated material. Documentation and business analysis techniques can be learned on the job. Candidates should be comfortable using AI tools and writing effective prompts. Any risk management experience is acceptable, provided candidates understand what risk is and how it is managed.

Key Responsibilities

- Prepare and maintain model development and validation documentation, including experiments, findings, and insights.
- Support AI and advanced analytics projects across the team.
- Help build an AI-powered knowledge hub using a drag-and-drop knowledge graph capability.
- Manage access requests, project intake,



and budget approval submissions.
- Use AI tools such as Copilot to support documentation and improve efficiency.

Must-Have Requirements

- 5 years of risk management within FI or healthcare (highly regulated environments)
- 5 years of Business or Data Analyst experiences (Bachelors Degree) or 3 years of Business/Data Analyst experience (Masters Degree)
- Understand concepts of Project Management and Agile mindset (documentations, road mapping etc.)
- Writing technical documentation skills
- Reading and writing code within Python and SQL
- Jira, Confluence, Clarity, SharePoint experience
- CoPilot experience

Required Skills

- Strong understanding of data science, statistical analysis, and machine learning concepts
- Ability to read and understand SQL and Python code (extensive hands-on coding is not required)
- Knowledge of model development lifecycle and the documentation required at each stage
- Understanding of risk management principles
- Solid analytical, documentation, communication, and problem-solving skills
- Ability to work in a fast-paced environment with ambiguity and competing priorities
- Excellent communication skills (written and verbal)
- Well organized, strong time management
- Translating technical concepts into business acumen
- Open to being flexible with the day-to-day work

Preferred Skills

- Any AI, Data Science, or Cloud certifications
- Data Science background
- Experience in Canadian financial services, banking, or healthcare is an asset due to the regulated environment

Education Requirements

- Degree or Diploma is required
- Master's degree (preferred) — within Computer Science, Business Analysis, Data Science, or AI preferred




- Bachelor's degree with approximately 5 years of relevant experience, or Master's degree with approximately 3 years of relevant experience

Required Experience

- 10 years of overall experience (versatile)
- 5 years of Business or Data Analyst experience (Bachelor's Degree) or 3 years of Business/Data Analyst experience (Master's Degree)
- 5 years of risk management experience within a financial institution (FI) or healthcare (highly regulated environments)

Nice-to-Have Experience

- Data Scientist transitioning toward business analysis, product management, or AI product management
- Data Analyst with experience in statistical analysis, machine learning, or data science projects
- Business Analyst with experience supporting data-heavy, AI, or machine learning initiatives

Important Notes

- Interview process: 1 step, virtual, 1 hour, 1-on-1 — technical and soft skills assessed
- Candidates who have worked at TD as a contractor (SOW), in any capacity, or as a full-time employee must be disclosed at time of submission

About the Client This client is a leading financial services and banking institution operating across Canada and internationally, with a significant presence in Toronto and major financial centres throughout North America.

The organization employs tens of thousands of professionals and serves millions of customers, ranking among the largest banks in Canada by assets. Teams here include business analysts, data scientists, solutions developers, release train strategists, and technology specialists who collaborate in agile, fast-paced environments focused on enterprise data, AI, and advanced analytics solutions.

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

#gttca

📌 Senior Business Analyst (Toronto)
🏢 Global Technical Talent, an Inc. 5000
📍 Toronto