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For Companies At a Glance
- Tasks: Lead data governance for Risk and Finance, ensuring compliance and quality.
- Company: Join a purpose-led organisation focused on data excellence and regulatory integrity.
- Benefits: Enjoy a hybrid work model with 2 days in the office and 3 days remote.
- Why this job: Be at the forefront of data innovation and influence senior stakeholders in a dynamic environment.
- Qualifications: Degree in a quantitative field or equivalent experience; knowledge of BCBS239 and data governance required.
- Other info: Contract duration is 6 months with a competitive day rate of £600.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Senior Risk & Finance Data Governance Analyst
The Opportunity:
This pivotal role sits at the heart of our EMEA BCBS239 Programme, where you will lead the implementation of data governance across Risk and Finance domains. You'll work with senior stakeholders to establish best-in-class data management practices, supporting our ambition to meet evolving regulatory requirements and embed a culture of openness, transparency, and data-driven innovation.
As a subject matter expert, you'll help influence the data culture-educating and engaging senior stakeholders to champion the importance of governance in an evolving, highly regulated environment.
- Salary: Day Rate £600
- Contract Duration: 6 months
- Hybrid: 2 days office based and 3 days working from home
The Main Duties:
- Lead data governance activities aligned to BCBS239 across Risk & Finance functions
- Define and manage end-to-end data lineage, quality, and governance for critical use cases
- Collaborate across business, compliance, and technology teams to shape and embed data standards
- Actively participate in data governance forums, contributing to both regulatory compliance and strategic transformation
- Support data quality investigations and drive root-cause remediation at source
- Monitor business data changes and lead governance efforts across EMEA entities
Essential Skills:
- Deep knowledge of BCBS239, risk and finance data structures, and data governance best practices
- Proven experience influencing and engaging senior stakeholders across complex organisations
- Strong working knowledge of data quality, profiling, metadata management, and governance tools (Collibra preferred)
- Analytical mindset with the ability to challenge constructively and solve problems creatively
- Experience working in Tier 1/Tier 2 banking, with a solid grasp of regulatory expectations and enterprise data frameworks
- Confident communicator with excellent presentation and stakeholder management skills
- Proficiency in Excel, Visio, PowerPoint, and understanding of data models (physical, logical, business)
- Degree educated, ideally in a quantitative field, or equivalent industry experience
Desirable skills:
- Experience in ECB onboarding, SQL, Python, Power BI/Tableau, or data engineering
- Exposure to regulatory frameworks and emerging data management trends
If you're ready to make your mark in a purpose-led organisation driving data excellence and regulatory integrity, we'd love to hear from you.
Risk & Finance Data Governance Analyst - LMA employer: LMA
Contact Detail:
LMA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk & Finance Data Governance Analyst - LMA
✨Tip Number 1
Familiarise yourself with BCBS239 and its implications for data governance in risk and finance. Understanding the regulatory landscape will not only help you in interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the banking sector, especially those involved in data governance. Engaging with industry peers can provide insights into best practices and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've influenced senior stakeholders in previous roles. Highlighting your experience in engaging complex organisations will set you apart from other candidates.
✨Tip Number 4
Brush up on your technical skills, particularly in tools like Collibra and data management concepts. Being able to speak confidently about these tools during discussions will show your readiness for the role.
We think you need these skills to ace Risk & Finance Data Governance Analyst - LMA
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Risk & Finance Data Governance Analyst position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with BCBS239, data governance, and working with senior stakeholders. Use specific examples that demonstrate your analytical mindset and problem-solving abilities in a banking environment.
Showcase Technical Skills: Mention your proficiency in tools like Collibra, Excel, and any experience with SQL or Python. If you have worked with data quality and governance tools, be sure to include this information to strengthen your application.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also conveys your passion for data governance and regulatory compliance. Explain why you are interested in this role and how you can contribute to the company's goals.
How to prepare for a job interview at LMA
✨Understand BCBS239 Inside Out
Make sure you have a solid grasp of BCBS239 and its implications for data governance. Be prepared to discuss how you can implement these standards effectively within the Risk and Finance domains.
✨Showcase Your Stakeholder Engagement Skills
Since this role involves influencing senior stakeholders, come equipped with examples of how you've successfully engaged and educated stakeholders in previous roles. Highlight your communication strategies and any challenges you overcame.
✨Demonstrate Analytical Problem-Solving
Prepare to discuss specific instances where you've tackled complex data quality issues or governance challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your analytical mindset.
✨Familiarise Yourself with Data Governance Tools
If you have experience with tools like Collibra, be ready to talk about how you've used them in past projects. If not, research their functionalities and be prepared to discuss how you would approach data governance using such tools.
