Senior Risk & Data Analyst - Hybrid Contract (Toronto)

Randstad Canada

Toronto

Hybrid

CAD 90,000 - 120,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work model
12-month contract
Copilot/AI tooling

Job summary

Randstad Canada seeks an experienced Business Analyst V (Risk Management & Technical Data Analytics) to join the enterprise risk technology group in a hybrid Toronto setting. You will bridge risk governance, data science, and technical execution, translating AI/ML concepts into clear business insights for executives using Python and SQL.

You will collaborate with cross-functional teams, maintain documentation, build roadmaps, and oversee artifacts across Jira, Confluence, Clarity, and SharePoint

Qualifications

  • 5+ years in risk management in regulated environments.
  • 5+ years as Business/Data Analyst or 3+ years with a Master.
  • Proficient reading/writing Python and SQL.
  • Experience with Jira, Confluence, Clarity, SharePoint.
  • Hands-on Copilot for productivity or documentation.
  • Solid understanding of Agile, roadmapping, and technical docs.
  • Excellent written and verbal communication translating tech to business.

Responsibilities

  • Analyze risk frameworks and regulatory requirements in a regulated ecosystem.
  • Read, write Python and SQL to inspect datasets and support analytics projects.
  • Draft, maintain and publish technical docs, specs, workflows, and roadmaps.
  • Manage project artifacts and backlogs using Jira, Confluence, Clarity, and SharePoint.
  • Translate data science concepts for executives and business leaders.
  • Leverage Copilot and AI tools to improve documentation and workflows.

Skills

Python
SQL
Agile delivery
Stakeholder comms
Technical docs

Education

Bachelor's degree

Tools

Jira
Confluence
Clarity
SharePoint
Copilot

Job description

Randstad Canada seeks an experienced Business Analyst V (Risk Management & Technical Data Analytics) to join the enterprise risk technology group in a hybrid Toronto setting. You will bridge risk governance, data science, and technical execution, translating AI/ML concepts into clear business insights for executives using Python and SQL.

You will collaborate with cross-functional teams, maintain documentation, build roadmaps, and oversee artifacts across Jira, Confluence, Clarity, and SharePoint

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