At a Glance
- Tasks: Design and optimise knowledge frameworks for claims processing and underwriting decisions.
- Company: Leading insurance firm with a focus on innovation and data-driven solutions.
- Benefits: Flexible remote work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on enhancing claims automation and fraud detection.
- Why this job: Join a dynamic team to shape the future of insurance through cutting-edge ontology design.
- Qualifications: 12+ years in insurance underwriting or claims with strong ontology expertise.
The predicted salary is between 80000 - 100000 € per year.
Preferred location: London (Remote or hybrid possible)
Permanent role
Need 12+ years of experience
We have an urgent requirement from a client for insurance-specific ontology specialists who understand the insurance domain very well.
Role Overview:
We are seeking a skilled Underwriter with expertise in claims ontology to design, manage and optimise structured knowledge frameworks that support claims processing, underwriting decisions and data-driven insights within the insurance domain.
Key Skills & Experience:
- Experience in insurance underwriting and/or claims (UK market preferred).
- Strong understanding of ontology, taxonomy design, and semantic data modelling.
- Familiarity with data standards, knowledge graphs, or tools such as RDF/OWL/SPARQL.
- Analytical mindset with ability to bridge business and technical stakeholders.
- Knowledge of regulatory frameworks and insurance data governance in the UK.
Key Responsibilities:
- Develop and maintain claims ontologies, taxonomies and data models aligned with underwriting and claims processes.
- Collaborate with underwriters, actuaries, and data teams to standardise claims data definitions and relationships.
- Enhance claims automation, decisioning and fraud detection through semantic modelling.
- Ensure consistency and quality of claims data across systems and platforms.
- Support integration of ontology models into analytics, AI, and digital claims solutions.
- Translate business requirements into structured data frameworks and logic models.
Claims Ontologist (Underwriter) in Chinatown employer: Lancesoft Ltd
As a leading player in the insurance sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With flexible remote or hybrid working options available in London, we offer competitive benefits, continuous professional development opportunities, and a commitment to employee well-being, making us an exceptional employer for those looking to make a meaningful impact in the field of claims ontology and underwriting.
StudySmarter Expert Advice🤫
We think this is how you could land Claims Ontologist (Underwriter) in Chinatown
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend relevant events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews! Research the company and its culture, and be ready to discuss how your experience aligns with their needs. We want you to shine and show them why you're the perfect fit for the role.
✨Tip Number 3
Showcase your expertise! Bring examples of your work related to claims ontology and underwriting to the table. We believe that demonstrating your skills can really set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re here to help you land that dream job, so make sure you take advantage of it!
We think you need these skills to ace Claims Ontologist (Underwriter) in Chinatown
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in insurance underwriting and claims ontology. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or roles you've had.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Claims Ontologist role. We love seeing passion for the insurance domain and a clear understanding of ontology and data modelling.
Showcase Your Analytical Skills:Since the role requires an analytical mindset, make sure to include examples that demonstrate your ability to bridge business and technical stakeholders. We want to know how you've tackled complex problems in the past!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Lancesoft Ltd
✨Know Your Ontology Inside Out
Make sure you have a solid grasp of ontology, taxonomy design, and semantic data modelling. Brush up on the specific tools mentioned in the job description, like RDF, OWL, and SPARQL. Being able to discuss these confidently will show your expertise and passion for the role.
✨Understand the Insurance Landscape
Since this role is heavily focused on the insurance domain, it’s crucial to be well-versed in UK insurance underwriting and claims processes. Familiarise yourself with current trends, regulatory frameworks, and common challenges in the industry to demonstrate your knowledge during the interview.
✨Bridge the Gap Between Business and Tech
Highlight your ability to communicate effectively with both technical and business stakeholders. Prepare examples of how you've successfully collaborated with underwriters, actuaries, or data teams in the past. This will showcase your analytical mindset and your capability to translate complex concepts into actionable insights.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've enhanced claims automation or improved decision-making through semantic modelling in previous roles. Think of specific instances where your contributions led to better outcomes, as this will illustrate your practical experience and value to the team.
