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Sr Business Systems Analyst - Credit Finance - 12 Month Contract

@ Caspian One

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Toronto, Ontario

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SIGNAUX

En bref

Caspian One is hiring a senior Business Systems Analyst on a 12-month contract in Toronto for its Private Credit Finance technology and transformation team. The role supports a data transformation programme, bridging credit finance stakeholders with data and technology teams. The posting states a contract employment type and a Toronto location.

Responsabilités :

  • Bridge credit finance stakeholders and data teams
  • Source and analyse data across multiple systems in Databricks
  • Identify data gaps and quality issues in structured credit datasets
  • Build dashboards, reports, and analytical models
  • Contribute to stress testing and risk management frameworks

Résumé des exigences :

  • Strong experience in credit finance, structured credit, or capital markets
  • Knowledge of private credit, repo, securitisation, or collateralised lending
  • Experience with Databricks or similar cloud data platforms
  • Strong data analysis and validation skills
  • Clear communication with traders and senior management

Outils et compétences

DatabricksDashboardsReporting tools
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-10-12
Première détection par notre source
2026-11-11
Mise à jour du dossier source
2026-11-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineOpérations
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Caspian One

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ChampValeur
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Description

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 Private 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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