ValueMomentum
Data Modeler/ Architect- P&C Insurance

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Senior Data Modeler / Architect (Insurance)
ROLE OVERVIEW
We are seeking an experienced Data Modeler / Architect with strong knowledge of insurance industry standards and a solid foundation in modern data modelling practices.
The ideal candidate will have hands-on experience with:
- Modelling tools
- Data frameworks
- Insurance industry data exchange standards
This role involves designing scalable, compliant, and high-quality data structures that support:
- Enterprise analytics
- Regulatory reporting
- Operational data needs
RESPONSIBILITIES
Core Data Design & Implementation
-
Design and maintain enterprise-wide data models (conceptual, logical, physical) for:
- Analytics
- Operational reporting
- Regulatory compliance
- Integration use cases
-
Own the design of canonical data models for delegated insurance, covering:
- Contract
- Premium/Risk
- Claims
- Full transaction and movement-based constructs (e.g., endorsements, cancellations, reinstatements, claim financial movements)
Schema & Integration Processes
- Translate conceptual and logical models into implementation-ready artefacts:
- JSON/XML schemas
- Excel bordereaux templates
- Support for real-time API ingestion from MGA/TPA systems
- Monthly bordereaux submissions
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Modelling Methodologies
- Develop data models using:
- Dimensional (Star/Snowflake)
- Data Vault
- Third Normal Form (3NF)
Metadata & Governance
- Create and manage metadata and modelling artefacts using Erwin, including:
- Traceability
- Governance
Data Lake & Architecture Support
- Support Medallion Architecture (Bronze/Silver/Gold) across ingestion and curation layers
- Collaborate with engineering to implement models on Databricks and Unity Catalog
Regulatory & Compliance Alignment
-
Ensure compliance with:
- GDPR
- Solvency II
- Lloyd’s reporting requirements
- MAR/SOX controls through documentation and validation
-
Align with ACORD and CSIO data standards for:
- Global and Canadian insurance data exchange
Standardisation & Collaboration
- Align modelling standards with GSI Data Target Operating Model (TOM) and:
- Partner Management & Data Intake workstreams
- Act as architectural authority for delegated data standards


Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Lead:
- Data modelling workshops
- Subject Matter Expert (SME) councils
- Stakeholder alignment sessions
Vendor & Partner Integration
- Provide architectural oversight during partner onboarding, including:
- Mapping
- Validation
- Exception handling
- Change control
REQUIRED SKILLS & KNOWLEDGE
Industry Standards
- Knowledge of:
- ACORD (global, comprehensive insurance data standards)
- CSIO (Canadian insurance standards: XML, EDI, JSON formats)
Tools & Platforms
- Mandatory:
- Erwin Data Modeler
- Familiarity with:
- Medallion Data Architecture
- Databricks & Unity Catalog
- MAR/SOX data governance
- GDPR, Solvency II, Lloyd’s reporting frameworks
Modelling Techniques
- Dimensional Modelling:
- Star schemas
- Snowflake schemas
- Data Vault Modelling
- Third Normal Form (3NF) relational modelling
- JSON/XMLSchema
Optional / Nice to Have
- Experience with Master Data Management (MDM) or Reference Data Management (RDM)
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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