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
- Execute data reconciliation activities between Kaizen and Qomply during parallel-run testing phases
- Investigate breaks, discrepancies, and data quality issues across regulatory report outputs and source systems
- Perform root-cause analysis and work closely with Technology and upstream data teams to resolve issues
- Develop MI dashboards and reporting packs covering data quality, exceptions, reconciliations, and submission performance
- Validate regulatory reporting outputs against business rules, submission standards, and regulatory requirements
- Build and enhance automated data quality controls to support BAU operations post go-live
- Support data migration activities including profiling, lineage analysis, and identification of anomalies or gaps
- Produce clear documentation and analysis suitable for both technical and business stakeholders
- Work closely with Regulatory Operations and programme stakeholders to support testing and delivery activities
Requirements
- Strong background in data analysis within financial services, ideally in regulatory reporting, RegOps or data management environments
- Experience working with transaction reporting regimes such as MiFID II, EMIR, SFTR or similar
- Strong SQL skills with experience performing data profiling, reconciliation, and exception analysis
- Experience building MI reporting or dashboards using Excel, Power BI, Tableau, or similar tools
- Proven experience supporting data migration, reconciliation or data quality initiatives within change programmes
- Strong analytical mindset with excellent attention to detail
- Ability to communicate effectively with both technical and non-technical stakeholders
- Exposure to Qomply or Kaizen Reporting Hub
- Python or R experience for automation and data analysis
- Investment banking or capital markets experience
- Understanding of trade lifecycle data and upstream systems
- Exposure to data governance or lineage tooling
Salary to be discussed.
9-months intitial contract, with strong likelihood of extension.
#J-18808-Ljbffr”, “datePosted”: “2026-05-17”, “hiringOrganization”: { “@type”: “Organization”, “name”: “G MASS Consulting”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__435511587__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }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
- Execute data reconciliation activities between Kaizen and Qomply during parallel-run testing phases
- Investigate breaks, discrepancies, and data quality issues across regulatory report outputs and source systems
- Perform root-cause analysis and work closely with Technology and upstream data teams to resolve issues
- Develop MI dashboards and reporting packs covering data quality, exceptions, reconciliations, and submission performance
- Validate regulatory reporting outputs against business rules, submission standards, and regulatory requirements
- Build and enhance automated data quality controls to support BAU operations post go-live
- Support data migration activities including profiling, lineage analysis, and identification of anomalies or gaps
- Produce clear documentation and analysis suitable for both technical and business stakeholders
- Work closely with Regulatory Operations and programme stakeholders to support testing and delivery activities
Requirements
- Strong background in data analysis within financial services, ideally in regulatory reporting, RegOps or data management environments
- Experience working with transaction reporting regimes such as MiFID II, EMIR, SFTR or similar
- Strong SQL skills with experience performing data profiling, reconciliation, and exception analysis
- Experience building MI reporting or dashboards using Excel, Power BI, Tableau, or similar tools
- Proven experience supporting data migration, reconciliation or data quality initiatives within change programmes
- Strong analytical mindset with excellent attention to detail
- Ability to communicate effectively with both technical and non-technical stakeholders
- Exposure to Qomply or Kaizen Reporting Hub
- Python or R experience for automation and data analysis
- Investment banking or capital markets experience
- Understanding of trade lifecycle data and upstream systems
- Exposure to data governance or lineage tooling
Salary to be discussed.
9-months intitial contract, with strong likelihood of extension.
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