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- Tasks: Transform complex data into scalable models for pricing and actuarial systems.
- Company: Join a leading reinsurance firm focused on data-driven insights.
- Benefits: Enjoy fully remote work, competitive daily rates, and a collaborative environment.
- Why this job: Be part of a dynamic team making impactful decisions with data.
- Qualifications: Experience in pricing, actuarial data, and strong SQL skills required.
- Other info: Contract role until December 2025 with opportunities for growth.
The predicted salary is between 48000 - 72000 £ per year.
Contract: Daily rate (Inside IR35, umbrella – UK)
Start Date: ASAP – 31 December 2025
Location: Remote (UK)
Role Overview
As an On-site Data Modeler, you will translate complex reinsurance data into robust, scalable models that power our pricing and actuarial systems. You’ll collaborate with actuaries, underwriters and project teams to ensure data quality, governance and business intelligence (BI) insights are delivered to tight deadlines.
Key Responsibilities
- Data Modelling & Schema Design: Support the Data Architect in defining logical and physical models, ensuring alignment with MVP user stories and solution design.
- Requirements Capture: Run workshops with stakeholders to elicit and document detailed data requirements, mapping attributes to our data warehouse and downstream systems.
- BI Analysis: Leverage business intelligence tools to interpret complex data sets, produce dashboards and drive actionable insights.
- SQL Development: Write and optimise complex Microsoft SQL Server queries for data extraction, transformation and loading (ETL).
- Data Governance: Implement master data management and governance policies to maintain data quality, compliance and lineage.
- Stakeholder Management: Communicate effectively with project managers and cross-functional teams, ensuring transparency on deliverables and timelines.
Candidate Profile
- Proven pricing and actuarial data experience, preferably in reinsurance.
- Solid background in the insurance/reinsurance sector and familiarity with reinsurance pricing projects.
- Expert in SQL (Microsoft SQL Server) and strong Excel/VBA capabilities.
- Exceptional data analysis skills, with a keen eye for data quality and governance best practices.
- Demonstrable experience in Business Analysis, Requirements Analysis and Data Modeling.
- Excellent problem-solving mindset and clear, persuasive communication style.
Primary Skill: BI Analysis
Must-have: Business Analysis · Data Modeling · Insurance · Master Data Management · Requirements Analysis · SQL
Fully Remote Data employer: Airswift
Contact Detail:
Airswift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fully Remote Data
✨Tip Number 1
Familiarise yourself with the latest trends in data modelling and BI analysis, especially within the reinsurance sector. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the insurance and reinsurance industries. Attend relevant webinars or online meetups to connect with potential colleagues or mentors who can provide insights into the role and possibly refer you to opportunities at StudySmarter.
✨Tip Number 3
Prepare to discuss specific examples of your past work in data modelling and SQL development. Be ready to explain how you've tackled challenges related to data quality and governance, as these are crucial aspects of the role.
✨Tip Number 4
Showcase your communication skills by practising how you would explain complex data concepts to non-technical stakeholders. This will highlight your ability to manage relationships effectively, which is key for the stakeholder management aspect of the job.
We think you need these skills to ace Fully Remote Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data modelling, SQL development, and business analysis. Use specific examples from your previous roles that demonstrate your skills in the insurance or reinsurance sector.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Data Modeler position and how your background aligns with the key responsibilities outlined in the job description. Mention your experience with BI tools and stakeholder management.
Showcase Relevant Projects: If you have worked on projects related to pricing and actuarial data, be sure to include these in your application. Describe your role, the challenges faced, and the outcomes achieved to demonstrate your expertise.
Highlight Soft Skills: The role requires effective communication and problem-solving skills. Provide examples of how you've successfully collaborated with cross-functional teams or managed stakeholder expectations in past roles.
How to prepare for a job interview at Airswift
✨Showcase Your Data Modelling Skills
Be prepared to discuss your experience with data modelling and schema design. Bring examples of past projects where you translated complex data into scalable models, and be ready to explain your thought process and the tools you used.
✨Demonstrate Your SQL Expertise
Since SQL is a must-have skill for this role, brush up on your SQL knowledge. Be ready to answer technical questions or even solve problems on the spot. Consider preparing a few examples of complex queries you've written in Microsoft SQL Server.
✨Prepare for Stakeholder Management Questions
Expect questions about how you manage relationships with stakeholders. Think of specific instances where you successfully communicated project timelines and deliverables, and how you handled any challenges that arose during those interactions.
✨Highlight Your BI Analysis Experience
As BI analysis is a primary skill for this position, prepare to discuss your experience with business intelligence tools. Be ready to share how you've used these tools to interpret data sets and drive actionable insights in previous roles.
