We are looking for a Data Analyst to support fraud-focused analytics initiatives within a banking workplace in Toronto, Ontario.

This Long-term Contract chance is ideal for someone who can turn complex data into practical insights, strengthen fraud detection approaches, and work across technical and business teams.

The role combines hands-on analysis with pipeline and reporting support, while partnering with stakeholders involved in lending, operations, and regulatory processes.

Responsibilities: Examine transactional, application, and behavioural data to uncover fraud trends, emerging risks, and actionable patterns.

Write and optimize SQL-based analysis to support investigations, recurring reporting, and ad hoc business requests.

Contribute to the design and refinement of fraud rules by translating analytical findings into practical detection logic.





Support data engineering activities by helping build, validate, and maintain ETL workflows and dependable data pipelines.

Work with large-scale data environments, including platforms such as Trino and Hive, to prepare and analyze banking data efficiently.

Partner with business stakeholders to gather requirements, map processes, and align analytical outputs with branch and lending operations needs.

Interpret lending data in the context of product structures, underwriting practices, and applicable compliance expectations.

Assist with project delivery activities by coordinating analysis tasks, documenting outcomes, and supporting change-related work within financial services technology initiatives.

📌 Data Analyst Toronto (Canada)
🏢 Robert Half
📍 Canada