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- Tasks: Design and deliver data models for banking, ensuring compliance and operational efficiency.
- Company: Leading consultancy in strategic data transformation within the banking sector.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Other info: Collaborate with diverse teams and enhance your skills in a high-impact role.
- Why this job: Make a real impact on data transformation in a dynamic banking environment.
- Qualifications: Experience in data modelling, especially with Data Vault 2.0 and Snowflake.
The predicted salary is between 60000 - 80000 £ per year.
Senior Data Modeller - Banking (Contract)
Location: Glasgow (Hybrid - 2 days onsite per week)
Start Date: Immediate
Duration: Initial 6 months (extension likely)
Sector: Investment Banking
Engagement Context
Our client, a leading consultancy delivering strategic data transformation across the banking sector, is seeking a Senior Data Modeller to support a high-impact programme focused on post-bind insurance data. The successful candidate will play a critical role in designing scalable, compliant data models that underpin operational reporting, financial reconciliation, and regulatory alignment across multiple specialty lines.
Key Responsibilities
- Lead the design and delivery of conceptual, logical, and physical data models across post-bind domains
- Collaborate with data architects, business analysts, and actuarial teams to translate complex business requirements into structured data assets
- Apply Data Vault 2.0 methodology to support auditability, scalability, and lineage tracking
- Model data for ingestion into Snowflake, ensuring compatibility with cloud-native architecture and downstream analytics
- Ensure models support reconciliation of premium and claims, aged debt tracking, reserve movements, and regulatory reporting
- Document metadata, data dictionaries, and lineage to support governance and compliance
- Engage with stakeholders across finance, operations, and claims to validate model assumptions and ensure business alignment
Required Experience & Skills
- Extensive experience as a Data Modeller within the FS Market, with demonstrable expertise in data
- Proficiency in Data Vault 2.0 and dimensional modelling techniques
- Hands-on experience with Snowflake and cloud-based data platforms
- Ability to model across multiple specialty lines (e.g., marine, aviation, cyber)
- Strong stakeholder engagement and documentation skills
- Clear documentation and stakeholder alignment across finance, operations, and actuarial domains
- Seamless integration of models into Snowflake and downstream analytics pipelines
- Contribution to a broader data transformation programme with measurable impact on operational efficiency and regulatory compliance
Data Modeler (Banking) in Glasgow employer: LMA Recruitment
Contact Detail:
LMA Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler (Banking) in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and data modelling space on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews by brushing up on your Data Vault 2.0 knowledge and Snowflake skills. Practice explaining complex data concepts in simple terms, as you’ll need to communicate effectively with stakeholders from various backgrounds.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications through our website. A quick email or message can show your enthusiasm and keep you on their radar. It’s all about making that connection!
✨Tip Number 4
Showcase your past projects! Prepare a portfolio or case studies that highlight your experience with data modelling and how you've contributed to previous data transformation programmes. This will set you apart from the competition.
We think you need these skills to ace Data Modeler (Banking) in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeler role. Highlight your experience with Data Vault 2.0 and Snowflake, and don’t forget to mention any relevant projects in the banking sector. We want to see how your skills align with 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 the perfect fit for this role. Talk about your experience in designing data models and how you’ve collaborated with teams in the past. Let us know what excites you about working with us at StudySmarter!
Showcase Your Stakeholder Engagement Skills: Since this role involves engaging with various stakeholders, make sure to highlight your communication and documentation skills. Share examples of how you've successfully validated model assumptions and aligned with business needs in previous roles. We love seeing teamwork in action!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter and how you can be part of our journey!
How to prepare for a job interview at LMA Recruitment
✨Know Your Data Vault 2.0 Inside Out
Make sure you brush up on your Data Vault 2.0 methodology. Be ready to discuss how you've applied it in past projects, especially in relation to auditability and scalability. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Stakeholder Engagement Skills
Prepare examples of how you've engaged with stakeholders across different domains like finance and operations. Highlight specific instances where your communication helped align business needs with data modelling solutions. This will demonstrate your ability to collaborate effectively.
✨Familiarise Yourself with Snowflake
Since the role involves working with Snowflake, make sure you know its features and capabilities. Be ready to discuss how you've modelled data for ingestion into cloud-native architectures and how this has benefited previous projects.
✨Document Your Success Stories
Have a few success stories ready that showcase your experience in documenting metadata and data dictionaries. Talk about how this contributed to governance and compliance in your previous roles, as it’s crucial for the position you're applying for.