Senior Treasury Data Analyst

Senior Business Information Management Specialist – Treasury Data

Location: Toronto, ON – Hybrid, 4 days onsite

Duration: 12 months, with potential extension

Hours: Monday–Friday, 9:00 AM–5:00 PM

The Role

We are seeking a Senior Business Information Management Specialist to support complex data initiatives within a banking Treasury environment.

This role combines Treasury product knowledge, advanced data analysis and data project delivery , with responsibility for translating business requirements into practical data solutions and ensuring requirements are implemented, tested and validated successfully.

Key Responsibilities

• Facilitate requirements reviews and ensure requirements are implemented, delivered and validated.
• Perform complex data analysis, profiling, reconciliation and validation using SQL and Python .
• Support data sourcing, onboarding, integration, lineage and source-to-target mapping.
• Analyze mapping and transformation rules and investigate complex data issues.
• Perform root-cause analysis and partner with technology teams to resolve data defects.
• Support data initiatives and workflows within modern cloud-based data platforms.
• Establish and execute disciplined testing practices, including test planning, test cases, requirements traceability and regression testing.
• Coordinate defect triage, testing execution and test evidence.
• Collaborate with business, data and technology stakeholders to drive project delivery.

Must-Have Skills

• 5+ years of advanced SQL and Python for data analysis, profiling, reconciliation, validation and investigation.
• 5+ years of banking/financial services product experience , with strong knowledge of Treasury domains and exposure to investment and hedging products.
• Strong understanding of Treasury data and data product modelling .
• 5+ years delivering large-scale, complex data initiatives within banking or financial services.
• 5+ years of project testing experience , including test planning, requirements traceability, defect management and regression testing.
• Experience translating complex business requirements into technical/data solutions.
• Strong data management experience, including sourcing, integration, lineage and source-to-target mapping.
• Strong communication, stakeholder management and attention to detail.
• Bachelor’s degree in Finance or a quantitative discipline such as Economics, Mathematics, Statistics, Computer Science or Engineering.

Nice to Have

• Broader Treasury product knowledge, including liquidity and capital .
• Databricks experience.
• CFA, CPA or FRM designation.

Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.