Support the Market Risk Technology team in transforming and automating data-quality and data-lineage processes within the Market Risk Platform (MRP). The role will focus on improving manual processes through automation and AI/GenAI while supporting data lineage, data quality controls and market-risk reporting.
Responsibilities:
- Analyse and document data flows, data lineage, interfaces and transformation rules across the Market Risk Platform.
- Analyse tickets, code repositories and documentation to identify data flows, dependencies and root causes of data-quality issues.
- Gather and validate requirements with business, data and technology stakeholders.
- Support data-flow analysis for transformation initiatives and assess downstream impact.
- Identify opportunities to automate manual processes using AI/GenAI and other automation tools.
- Support UAT, change delivery and lifecycle tracking of data flows.
- Collaborate with business, Risk, Data and Technology teams to resolve data and documentation gaps.
- Support data-quality governance, BCBS239 compliance and audit activities.
Mandatory Skills Description:
- Proven end-to-end Business Analysis delivery experience, including requirements elicitation, process mapping, user stories and UAT.
- Hands-on experience applying AI/GenAI tools to real business or data automation/analysis problems.
- Knowledge and experience with data lineage and data-quality control frameworks.
- Process re-engineering / process transformation experience.
- Experience coordinating User Acceptance Testing.
- Ability to work with Risk Managers, FM Operations and Finance.
- Experience working in an Agile development environment.
- Ability to drive requirements and communicate effectively with developers.
- Python for scripting/automation, ideally including AI/ML libraries.
- SQL and/or MDX.
Nice-to-Have Skills Description:
- Understanding of Financial Markets business and Market Risk systems, such as Active Pivot or risk-ETL.