G MASS Consulting is supporting a global banking client through a major regulatory reporting transformation programme, replacing its existing Kaizen platform with Qomply across the London business.
We are seeking a highly analytical Data & MI Analyst to join the Regulatory Operations team on an embedded consultancy basis. This is a key role within the programme, focused on regulatory data quality, reconciliation, MI reporting, and migration assurance throughout the platform transition.
The successful candidate will play a critical role in validating reporting integrity, investigating data discrepancies, and helping establish the long-term MI and controls framework that will support Qomply in BAU.
Key Responsibilities
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Execute data reconciliation activities between Kaizen and Qomply during parallel-run testing phases
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Investigate breaks, discrepancies, and data quality issues across regulatory report outputs and source systems
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Perform root-cause analysis and work closely with Technology and upstream data teams to resolve issues
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Develop MI dashboards and reporting packs covering data quality, exceptions, reconciliations, and submission performance
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Validate regulatory reporting outputs against business rules, submission standards, and regulatory requirements
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Build and enhance automated data quality controls to support BAU operations post go-live
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Support data migration activities including profiling, lineage analysis, and identification of anomalies or gaps
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Produce clear documentation and analysis suitable for both technical and business stakeholders
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Work closely with Regulatory Operations and programme stakeholders to support testing and delivery activities
Requirements
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Strong background in data analysis within financial services, ideally in regulatory reporting, RegOps or data management environments
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Experience working with transaction reporting regimes such as MiFID II, EMIR, SFTR or similar
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Strong SQL skills with experience performing data profiling, reconciliation, and exception analysis
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Experience building MI reporting or dashboards using Excel, Power BI, Tableau, or similar tools
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Proven experience supporting data migration, reconciliation or data quality initiatives within change programmes
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Strong analytical mindset with excellent attention to detail
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Ability to communicate effectively with both technical and non-technical stakeholders
Desirable Experience
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Exposure to Qomply or Kaizen Reporting Hub
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Python or R experience for automation and data analysis
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Investment banking or capital markets experience
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Understanding of trade lifecycle data and upstream systems
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Exposure to data governance or lineage tooling
Benefits
Salary to be discussed.
9-months intitial contract, with strong likelihood of extension.
