Business Analyst – Market Risk Data & AI Automation

Role Overview

We are seeking an experienced Business Analyst within Financial Markets Technology to support Market Risk initiatives, with primary ownership of the Data Quality Management System and associated data-lineage processes. The role will focus on re-engineering and automating manual data-quality and lineage processes using AI/GenAI tooling, while acting as the bridge between business, risk, data and technology teams.

What You Will Do

Own and maintain end-to-end data lineage across the Market Risk Platform (MRP), analyse ADO tickets, code repositories and documentation to assess change impacts and investigate data-quality issues, work with data owners, developers and application teams to resolve lineage gaps and maintain accurate documentation.

Why It Might Be a Fit

The role requires strong end-to-end BA delivery experience, hands-on AI/GenAI automation experience, experience with data lineage, data-quality controls and process re-engineering, strong Python and SQL and/or MDX skills, understanding of Financial Markets and Market Risk systems, data pipelines and reporting, experience working in Agile delivery environments and engaging directly with Risk, Operations, Finance and Technology stakeholders.

Requirements

  • 6+ years of Business Analysis/change delivery experience, ideally within Market Risk or Financial Markets
  • Strong end-to-end BA delivery experience across requirements, process mapping, user stories and UAT
  • Demonstrable hands-on AI/GenAI automation experience, with examples of using tools such as Copilot, LLM APIs or AI/ML techniques to automate real business or data processes
  • Experience with data lineage, data-quality controls and process re-engineering
  • Strong Python and SQL and/or MDX skills
  • Understanding of Financial Markets and Market Risk systems, data pipelines and reporting
  • Experience working in Agile delivery environments and engaging directly with Risk, Operations, Finance and Technology stakeholders

To apply for this job please visit job-boards.greenhouse.io.


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