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- Tasks: Join a dynamic team to analyse data and ensure regulatory reporting accuracy.
- Company: G MASS Consulting, supporting a global banking client in transformation.
- Benefits: Competitive salary, 9-month contract with potential for extension.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact on regulatory reporting and data quality in finance.
- Qualifications: Strong data analysis skills, especially in financial services and regulatory reporting.
The predicted salary is between 50000 - 65000 £ per year.
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
- 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 initial contract, with strong likelihood of extension.
Data & MI Analyst - Regulatory Reporting in London employer: G MASS
Contact Detail:
G MASS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & MI Analyst - Regulatory Reporting in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in regulatory reporting or data analysis. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data reconciliation knowledge. Be ready to discuss specific examples of how you've tackled data quality issues or built MI reports in the past.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data & MI Analyst - Regulatory Reporting in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data & MI Analyst role. Highlight your experience in regulatory reporting and data analysis, especially with tools like SQL and Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background fits into our needs. Be specific about your experience with data quality and reconciliation – we love details!
Show Off Your Analytical Skills: In your application, don’t forget to showcase your analytical mindset. Mention any relevant projects where you’ve tackled data discrepancies or built MI dashboards. We’re keen to see how you approach problem-solving!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at G MASS
✨Know Your Data Inside Out
Make sure you brush up on your data analysis skills, especially in the context of regulatory reporting. Familiarise yourself with transaction reporting regimes like MiFID II and EMIR, as these will likely come up during your interview.
✨Showcase Your SQL Skills
Since strong SQL skills are a must for this role, be prepared to discuss your experience with data profiling and reconciliation. You might even be asked to solve a problem on the spot, so practice some SQL queries beforehand!
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific data discrepancies or quality issues. Think of examples from your past experiences where you successfully resolved similar challenges, and be ready to explain your thought process.
✨Communicate Clearly with All Stakeholders
This role requires effective communication with both technical and non-technical stakeholders. Practice explaining complex data concepts in simple terms, as this will demonstrate your ability to bridge the gap between different teams.