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- Tasks: Lead the design and optimisation of pricing data architecture for a global reinsurer.
- Company: Join DATAHEAD, a leader in reinsurance solutions, driving innovation in data architecture.
- Benefits: Enjoy a competitive daily rate, hybrid work options, and the chance to work with cutting-edge technology.
- Why this job: Be at the forefront of data integration in insurance, making a real impact on pricing strategies.
- Qualifications: Experience with HyperExponential, cloud platforms, and (re)insurance pricing data is essential.
- Other info: This is a 6-month contract role with potential for future opportunities.
The predicted salary is between 72000 - 108000 £ per year.
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Data Architect (Reinsurance Pricing) – Contract
Global Reinsurance | 6 months | London (Hybrid) | £1,000/day Inside IR35
Search led exclusively by DATAHEAD
You’ve delivered HyperExponential (HX) in production and you know the difference between a pretty architecture diagram and data flowing cleanly through an API. We want you.
The Role:
Own the pricing data architecture for a global reinsurer. From day one you’ll:
- Design & run the HX data model + API layer —exposure, loss & pricing data in/out, governed and auditable.
- Stand up/optimise the cloud data platform (think Azure/Databricks/Snowflake) to power actuarial pricing, analytics and BI.
- Implement data quality, lineage, security & access controls for highly sensitive pricing datasets.
- Partner with Pricing/Actuarial, IT and vendors to embed HX across the ecosystem (rating tools, downstream finance/reporting).
- Define and sell the target-state roadmap —then build it. No slideware.
- Hands-on HyperExponential (HX) integration experience in a live insurance/reinsurance environment.
- Deep familiarity with (re)insurance pricing data and how actuaries actually use it.
Nice-to-Haves
- Data governance frameworks (DQ, lineage, cataloguing).
- Vendor/consulting experience—as long as you’ve shipped and supported it .
Please Apply!
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Contract
Job function
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Job function
Information Technology
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Industries
Insurance and Financial Services
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Senior Data Architect employer: DATAHEAD
Contact Detail:
DATAHEAD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect
✨Tip Number 1
Make sure to showcase your hands-on experience with HyperExponential (HX) in your conversations. Be prepared to discuss specific projects where you've successfully integrated HX in a live insurance or reinsurance environment.
✨Tip Number 2
Familiarise yourself with the latest trends in cloud data platforms like Azure, Databricks, and Snowflake. Being able to speak knowledgeably about optimising these platforms for actuarial pricing will set you apart.
✨Tip Number 3
Network with professionals in the reinsurance sector, especially those involved in pricing and actuarial roles. Building these connections can provide insights into the specific challenges they face and how you can address them.
✨Tip Number 4
Prepare to discuss data governance frameworks and your experience with data quality, lineage, and security. Highlighting your understanding of these concepts will demonstrate your capability to manage sensitive pricing datasets effectively.
We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Architect position. Familiarise yourself with HyperExponential (HX) and the specific data architecture needs in a reinsurance context.
Tailor Your CV: Highlight your relevant experience with data architecture, particularly in insurance or reinsurance. Emphasise your hands-on experience with HX integration, cloud platforms like Azure or Databricks, and any data governance frameworks you've worked with.
Craft a Compelling Cover Letter: Use your cover letter to explain why you're the perfect fit for this role. Discuss your experience with pricing data and how you've successfully implemented data quality and security measures in previous roles.
Showcase Your Technical Skills: In your application, be sure to mention specific technical skills that are relevant to the job, such as API development, data lineage, and analytics tools. Providing examples of past projects can help demonstrate your expertise.
How to prepare for a job interview at DATAHEAD
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with HyperExponential (HX) and how you've implemented data architectures in previous roles. Highlight specific projects where you designed data models and integrated APIs, as this will demonstrate your capability to handle the responsibilities of the role.
✨Understand the Business Context
Familiarise yourself with the reinsurance industry and the specific challenges it faces regarding pricing data. Being able to articulate how your technical skills can solve these business problems will set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you had to optimise a cloud data platform or implement data quality controls, and be ready to explain your thought process and outcomes.
✨Communicate Clearly and Confidently
During the interview, ensure you communicate your ideas clearly and confidently. Avoid jargon unless necessary, and focus on making complex concepts understandable. This will help the interviewers see your ability to collaborate with non-technical stakeholders.
