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- Tasks: Design and optimise data models for insurance and financial systems.
- Company: Leading organisation with a focus on innovation and collaboration.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data in the insurance sector.
- Qualifications: 15+ years in data modelling, preferably in insurance or financial services.
- Other info: Engage with cutting-edge technology and industry standards.
The predicted salary is between 43200 - 72000 £ per year.
A leading organization is seeking an experienced Senior Data Modeller to design, develop, and optimise data models that support underwriting, claims, pricing, and regulatory reporting functions. The role requires strong knowledge of complex insurance data structures, market standards, and modern data architecture principles.
Key Responsibilities
- Data Modelling & Architecture: Design and maintain conceptual, logical, and physical data models for insurance and financial systems. Ensure alignment with industry standards and data governance frameworks. Develop and maintain data dictionaries, metadata, and modelling documentation.
- Data Integration & Transformation: Collaborate with business analysts, actuaries, and technology teams to integrate data from multiple sources (policy, claims, exposure, financial). Optimise data flows to support reporting, analytics, and regulatory requirements.
- Stakeholder Engagement: Work closely with internal teams to gather and interpret data requirements. Provide subject matter expertise on data standards, data structures, and modelling principles.
- Quality & Compliance: Implement data quality rules, validation processes, and governance controls. Ensure compliance with relevant regulatory frameworks (e.g., data protection, financial/reporting standards).
Required Skills & Experience
- Technical Expertise: 15+ years' experience in data modelling, ideally within insurance or financial services. Strong experience with conceptual, logical, and physical data modelling techniques. Proficiency in modelling tools such as ERwin, PowerDesigner, or equivalent. Strong SQL capabilities and experience in relational/dimensional modelling and data warehousing.
- Domain Knowledge: Solid understanding of insurance or financial-market processes (e.g., placement, claims, bordereaux, regulatory reporting). Experience with industry data standards (e.g., ACORD, equivalent frameworks).
- Analytical & Communication Skills: Ability to translate complex business requirements into scalable data models. Strong communication and stakeholder-management skills.
Preferred Qualifications
- Experience with cloud platforms (e.g., Azure, AWS, GCP).
- Knowledge of data governance, MDM, and metadata management.
- Familiarity with BI/analytics tools such as Power BI or Tableau.
Please send me a copy of your CV if you meet the requirements.
Data Modeller employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data models or any relevant projects. This gives potential employers a tangible sense of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Think about how your experience aligns with the job description and be ready to discuss specific examples. Confidence is key, so rehearse until you feel like a pro!
✨Apply Through Us
We’ve got your back! Make sure to apply through our website for the best chance at landing that Senior Data Modeller role. We’re here to help you every step of the way, so don’t hesitate to reach out if you need any tips or support.
We think you need these skills to ace Data Modeller
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeller role. Highlight your 15+ years of experience and any specific projects that showcase your skills in data modelling, especially within insurance or financial services.
Showcase Your Technical Skills: Don’t forget to mention your proficiency with modelling tools like ERwin or PowerDesigner. If you’ve got strong SQL capabilities, make that stand out too! We want to see how you can bring your technical expertise to the table.
Communicate Clearly: When writing your application, be clear and concise. Use language that reflects your understanding of data structures and governance frameworks. We appreciate strong communication skills, so let that shine through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Jefferson Frank
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data modelling techniques, especially in the context of insurance and financial services. Be ready to discuss how you've designed and optimised data models in the past, and be prepared to give specific examples that showcase your expertise.
✨Familiarise Yourself with Industry Standards
Since the role requires a solid understanding of industry data standards like ACORD, do your homework! Understand how these frameworks apply to the job and be ready to explain how you've implemented them in your previous roles.
✨Showcase Your Collaboration Skills
This position involves working closely with various teams, so be prepared to talk about your experience collaborating with business analysts, actuaries, and tech teams. Highlight specific projects where you successfully integrated data from multiple sources and how you managed stakeholder expectations.
✨Prepare for Technical Questions
Expect to face technical questions related to SQL, data warehousing, and modelling tools like ERwin or PowerDesigner. Brush up on your technical skills and be ready to demonstrate your proficiency through practical examples or even live coding challenges if applicable.