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- Tasks: Create and maintain data models for innovative insurance products while collaborating with cross-functional teams.
- Company: Leading insurance firm in London with a hybrid work culture.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team to shape the future of data in the insurance industry.
- Qualifications: 8+ years in data modeling, preferably in property and casualty insurance.
- Other info: Fast-paced environment with a focus on collaboration and innovation.
The predicted salary is between 70000 - 90000 £ per year.
Location: London, UK
Mode: Hybrid
Role Summary: As a business modeling focused data modeler, your role involves creating and maintaining various levels of data models that align with Sub domain/Super Domain goals. You will closely work with the sub domain owners and sub domain Data product managers to understand business goals, value hypothesis, and use cases to help build Data products that are well supported by effective and efficient data models. In this role you will be responsible to closely collaborate with other personas in the domain driven architecture/operating model to drive the growth of your business domains.
Qualifications:
- Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
- Minimum of 8+ years of experience in data modeling in the property and casualty insurance industry.
- Proficiency in SQL, data modeling tools and languages such as Python and UML.
- Strong analytical thinking is essential for creating efficient and scalable data models that meet business needs.
- Proven experience as a Data Modeler preferably in the property and casualty insurance industry.
- Familiarity with property and casualty insurance industry data, systems, and processes.
- Ability to understand business needs, revenue drivers and stakeholder requirements.
- Take ownership of the product’s success and advocate for its value.
- Experience with Agile methodologies and data modeling tools.
- Familiarity with data modeling concepts and database technologies.
- Excellent communication and leadership skills, with the ability to bridge the gap between technical teams and business stakeholders.
- Strong problem-solving skills and the ability to work in a dynamic, fast-paced environment.
Key Responsibilities:
- Business Analysis and strategic planning: Analyse business use cases to understand the goal and value hypothesis that the domain owners are driving towards.
- Model Design and Build: Create data models that will support the data product vision of the Data product manager. Develop conceptual models representing the sub/super domain business model. Ensure the conceptual model is created with Meta Model/Ontology and/or Knowledge Graph utilization. Develop logical and physical data models to meet the Data product requirements through the means of business use cases and the KPIs. During the Physical data modeling process of the data product, ensure all the various output requirements are fully satisfied. E.g. – SQL endpoints, Dashboard/Reports and API consumption.
- Data Mapping and Quality: Ensure the data catalog activities for the data product are carried out. Help the domain data analysts to complete the source to target mapping, data quality rule setup for the target data model’s critical data elements (CDE).
- Database Optimization: Optimize Cloud databases such as Delta Lake or One Lake for efficiency, scalability, and faster access using techniques like indexing and partitioning.
- Data Governance: Work with Federated Governance guild to define global policies that define and govern data modeling practices, design standards, best practices across the data marketplace.
- Collaboration: Work closely with data engineers, analysts, and other teams to implement and maintain effective data models.
Data Modeler - P&C Insurance in London employer: ValueMomentum
Contact Detail:
ValueMomentum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler - P&C Insurance in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the property and casualty insurance industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This is your chance to demonstrate your proficiency in SQL, Python, and other tools. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your analytical thinking and problem-solving skills. Be ready to discuss how you’ve tackled challenges in past roles, especially in data modelling for the insurance sector. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Modelers. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role and company culture.
We think you need these skills to ace Data Modeler - P&C Insurance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeler role. Highlight your experience in data modeling, especially in the property and casualty insurance industry. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data modeling and how you can contribute to our team. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Don’t forget to highlight your proficiency in SQL, Python, and any data modeling tools you've used. We’re looking for someone who can hit the ground running, so make sure we see your technical chops!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at ValueMomentum
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your knowledge of data modeling, especially in the property and casualty insurance sector. Be prepared to discuss specific data models you've created and how they aligned with business goals. This will show that you understand the industry and can contribute effectively.
✨Showcase Your Analytical Skills
During the interview, highlight your analytical thinking by discussing how you've approached complex data problems in the past. Use examples that demonstrate your ability to create efficient and scalable data models. This will help the interviewers see your problem-solving skills in action.
✨Communicate Clearly and Confidently
Since this role requires bridging the gap between technical teams and business stakeholders, practice explaining your technical knowledge in simple terms. Use clear examples to illustrate your points, and don’t hesitate to ask clarifying questions if you need more information about the role or the company’s needs.
✨Familiarise Yourself with Agile Methodologies
As the role involves working in a dynamic environment, be ready to discuss your experience with Agile methodologies. Share how you've successfully collaborated with cross-functional teams and adapted to changing requirements. This will demonstrate your flexibility and readiness for the fast-paced nature of the job.