Data & MI Analyst - Regulatory Reporting

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 Desirable Experience • 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 Benefits Salary to be discussed. 9-months intitial contract, with strong likelihood of extension.