About this role
Sr Business Systems Analyst - 12 Month Contract - Toronto
A leading global financial institution is seeking a highly analytical Business Systems Analyst (BSA) to join a growing Credit Finance technology and transformation team. This role sits at the heart of a major data transformation programme, helping to modernise how credit finance data is captured, consolidated, analysed, and consumed across the business.
Key Responsibilities
• Act as the bridge between Credit Finance business stakeholders and data/technology teams.
• Source, aggregate, and analyse data from multiple systems within a Databricks environment.
• Identify data gaps, inconsistencies, and quality issues across structured credit datasets.
• Support the firm's strategic data consolidation and transformation initiatives.
• Structure and prepare datasets for analytical modelling, reporting, and decision-making.
• Develop dashboards, reporting tools, and analytical models to support business users.
• Contribute to stress testing, scenario analysis, and risk management frameworks.
• Work closely with traders, risk teams, data engineers, and senior stakeholders to understand requirements and deliver solutions.
• Challenge and refine business requirements where appropriate, ensuring requests are realistic and aligned to available data capabilities.
• Provide context around data limitations, assumptions, and analytical outputs to support informed business decisions.
Key Requirements
• Strong experience within Credit Finance, Structured Credit, Capital Markets, or Secured Financing.
• Knowledge of products such as Private Credit, Repo, Securitisation, Mortgage Financing, or Collateralised Lending.
• Understanding of how credit data supports risk, exposure, and business decision-making.
• Strong data analysis skills with experience sourcing, validating, and aggregating data from multiple systems.
• Ability to build and interpret dashboards, reports, and analytical models.
• Comfortable identifying trends, risks, data issues, and inconsistencies.
• Experience working with Databricks or similar cloud-based data platforms.
• Understanding of data pipelines, data consolidation, and analytical workflows.
• Ability to extract, analyse, and translate data into meaningful business insights.
• Strong communication skills with the ability to explain complex data in a clear and commercial way.
• Experience working with business stakeholders, traders, technology teams, and senior management.