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Business Systems Analyst - 12 Month Contract

Caspian One
Toronto, ONOn-siteJul 7
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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.
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