Job Description

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.