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- Tasks: Join a team to automate and enhance catastrophe modelling workflows using cutting-edge technology.
- Company: Willis Re, a leader in insurance analytics and modelling.
- Benefits: Competitive pay, hands-on experience, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration in a fast-paced environment.
- Why this job: Make a real impact by transforming modelling processes into scalable solutions.
- Qualifications: Experience in software development, data engineering, and catastrophe modelling concepts.
The predicted salary is between 60000 - 80000 £ per year.
The candidate will be joining a team of catastrophe modelling and technology specialists to support the automation and integration of catastrophe modelling workflows across RMS and Verisk platforms. This role is focused on transforming modelling processes into scalable, automated solutions as part of a broader front-to-back-office automation programme. The successful candidate will work closely with the Catastrophe Modelling team and Technology teams to deliver robust and efficient modelling workflows. This is a hands-on development role with a strong emphasis on execution, integration, and delivery. This role is a 6 month Contract.
Key responsibilities include:
- Work with the catastrophe analytics team to design and implement automated, repeatable catastrophe modelling (RMS and Verisk) workflows by translating manual processes into scalable pipelines.
- Ensure automation solutions are designed using an API‐first approach, enabling the catastrophe modelling pipelines to be modular, reusable, and easily integrated with other systems and tooling.
- Integrate catastrophe modelling workflows into internal systems (e.g. Igloo) and enterprise data platforms (e.g. Snowflake).
- Support the design, development, and integration of AI‐enabled tools (e.g. AI agents) to enhance and automate elements of the catastrophe modelling workflow, where appropriate.
- Work closely with the Catastrophe Modelling team to understand requirements and validate outputs.
- Collaborate with Technology and programme teams to align solutions with target architecture.
- Document workflows, tools, and processes to ensure transparency and maintainability.
About you
Essential
- Proven experience in software development or data engineering within catastrophe modelling or insurance analytics environments, including use of vendor model APIs (e.g. RMS, Verisk).
- Strong understanding of catastrophe modelling concepts and data, including exposure structures, probabilistic modelling, EP curves, AAL, and PML.
- Strong programming and data skills (e.g. Python, SQL, JavaScript) with experience building scalable data and automation workflows on large datasets.
- Knowledge of catastrophe model data formats and databases (SQL).
- Ability to translate business requirements into robust technical solutions, supported by strong analytical, problem‐solving, and communication skills.
- Comfortable using modern AI tools to support and accelerate the development lifecycle.
Desirable
- Experience building or contributing to AI‐enabled tools, such as AI agents or assistive analytics solutions, to augment data or modelling workflows.
- Familiarity with insurance and reinsurance data structures, including exposure, portfolio, and results data.
- Working knowledge of modern data platforms and cloud‐based analytics environments (e.g. Databricks, Snowflake, or similar).
- Understanding of data pipeline architecture, workflow orchestration, and integration patterns.
- Experience working with the Open Exposure Data (OED) schema or related industry standards.
We combine specialist broking with analytics, modeling and research to help insurers optimize risk.
Catastrophe Modelling Developer in London employer: Willis Re Bermuda
Contact Detail:
Willis Re Bermuda Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Catastrophe Modelling Developer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant meetups or webinars, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to catastrophe modelling or automation. This could be anything from GitHub repositories to case studies that highlight your problem-solving abilities and technical expertise.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to catastrophe modelling and software development. Practice explaining your thought process and how you've tackled challenges in past projects. Confidence is key!
✨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. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Catastrophe Modelling Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Catastrophe Modelling Developer role. Highlight your experience with software development, data engineering, and any relevant catastrophe modelling projects. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your programming languages; show us how you've used them in real-world scenarios. If you've built scalable data workflows or automated processes, share those experiences! We love seeing practical applications of your skills.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're interested in the role and how you can contribute to our team. We appreciate straightforward communication that gets to the heart of the matter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Willis Re Bermuda
✨Know Your Catastrophe Modelling Inside Out
Make sure you brush up on your understanding of catastrophe modelling concepts and data. Be ready to discuss exposure structures, probabilistic modelling, and the use of vendor model APIs like RMS and Verisk. This knowledge will show that you're not just familiar with the theory but can also apply it practically.
✨Show Off Your Coding Skills
Since this role requires strong programming skills, be prepared to demonstrate your expertise in Python, SQL, or JavaScript. You might even want to bring examples of scalable data workflows you've built in the past. This will help us see how you can contribute to automating and integrating modelling processes.
✨Understand the Tech Stack
Familiarise yourself with the tools and platforms mentioned in the job description, like Snowflake and Databricks. If you have experience with AI-enabled tools or cloud-based analytics environments, make sure to highlight that. It shows you're ready to hit the ground running!
✨Prepare for Collaboration Questions
This role involves working closely with various teams, so expect questions about teamwork and collaboration. Think of examples where you've successfully worked with others to deliver a project or solve a problem. This will demonstrate your ability to communicate effectively and align solutions with team goals.