Overview
In this role you will support a large-scale reference data and data quality programme within an investment banking environment. You will work with a Programme Manager to diagnose data quality issues across asset classes, document findings, and help shape remediation strategies. You will engage with both business and technical stakeholders to validate insights and contribute to data readiness initiatives, including AI use cases. This role combines data investigation, root cause analysis, and governance to improve data quality and lifecycle. You will operate in a fast-paced setting where you influence data solutions and drive impact.
Responsibilities
- Document and analyse client reference data quality issues
- Map data flows, sources, and ownership across asset classes (credit, rates, FX)
- Perform root cause analysis (technology, process, governance, ownership gaps)
- Maintain structured data issue logs with impact assessments and recommendations
- Support the development of remediation roadmaps and prioritisation frameworks
- Collaborate with business stakeholders and technical teams to validate findings
- Contribute to data readiness initiatives (including AI-related use cases)
- Produce clear documentation (issue logs, data dictionaries, process flows, reports)
Key requirements
- Extensive experience in data or business analysis within investment banking / capital markets
- Strong understanding of client reference data and data lifecycle
- Experience across multiple FIC asset classes
- Strong data literacy (SQL, data structures, data modelling concepts)
- Proven ability to analyse complex data issues end-to-end
- Comfortable working in fast-paced, ambiguous environments
- Experience with data governance, data quality frameworks, or MDM is beneficial
- Collaboration with business stakeholders and technical teams
- Ability to work in fast-paced, ambiguous environments
- Strong communication and documentation skills
- SQL
- data structures
- data modelling concepts
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