Senior Treasury Data Analyst

Résumé du poste

The role involves supporting complex data initiatives within a banking Treasury environment by translating business requirements into practical data solutions. Key tasks include performing data analysis, profiling, and validation using SQL and Python, while coordinating testing and defect triage.

Détails du poste

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.

Ce que vous ferez

The role involves supporting complex data initiatives within a banking Treasury environment by translating business requirements into practical data solutions. Key tasks include performing data analysis, profiling, and validation using SQL and Python, while coordinating testing and defect triage.

Exigences

Candidates must have over 5 years of experience in SQL, Python, and banking Treasury domains, along with a proven track record in large-scale data project delivery and testing. A Bachelor's degree in Finance or a quantitative discipline is required.

Compétences indiquées

• SQL · Souhaitée
• Root Cause Analysis · Souhaitée
• Stakeholder Management · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• SQL
• Python
• Treasury Product Knowledge
• Data Profiling
• Data Reconciliation
• Source-to-Target Mapping
• Data Lineage
• Test Planning
• Regression Testing
• Defect Management
• Stakeholder Management
• Data Modelling
• Root-Cause Analysis
• Requirements Translation
• Cloud Data Platforms
• Financial Services Experience

Domaines d’emploi

• Data & Analytics
• Finance & Accounting
• Technology
• Consulting
• Software