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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 analytics and risk management solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by transforming modelling processes into scalable solutions.
- Qualifications: Experience in software development or data engineering, especially in catastrophe modelling.
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.
About Willis Re
We combine specialist broking with analytics, modeling and research to help insurers optimize risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship-driven, transparent and outcome-focused. At the heart of Willis Re is a focus on delivering the most cutting-edge analytical solutions to enable more informed, better decision-making for risk selection, portfolio optimization, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future led and forward thinking. Willis Re will also leverage recognized technical expertise from WTW’s Insurance Consulting & Technology business including their advanced modeling and analytical capabilities. Alongside this will be WTW’s Research Network, an award-winning business supporting and influencing science to improve the understanding and quantification of risk.
Willis Re is committed to embracing a diverse, inclusive, and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories. If you have a need that requires accommodation, please email us at talentacquisition@willisre.com.
Catastrophe Modelling Developer 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
✨Tip Number 1
Network like a pro! Reach out to folks in the catastrophe modelling and insurance analytics space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to catastrophe modelling, automation workflows, or AI tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of RMS and Verisk platforms, and be ready to discuss how you've tackled similar challenges in the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about catastrophe modelling. Plus, it shows you're keen on joining our team at Willis Re!
We think you need these skills to ace Catastrophe Modelling Developer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in catastrophe modelling and software development. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Show Off Your Technical Skills: Since this role is all about automation and integration, be sure to mention your programming skills, especially in Python, SQL, and JavaScript. We love seeing examples of how you've built scalable data workflows or automated processes in the past.
Demonstrate Your Problem-Solving Abilities: We’re looking for someone who can translate business requirements into technical solutions. Use your application to share specific examples of challenges you’ve faced and how you tackled them, especially in a catastrophe modelling context.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join our team!
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 key metrics like AAL and PML. This knowledge will show that you're not just familiar with the theory but can apply it practically.
✨Showcase Your Technical Skills
Prepare to demonstrate your programming prowess, especially in Python, SQL, and JavaScript. Have examples ready that highlight how you've built scalable data workflows or automated processes. This is a hands-on role, so showing your technical capabilities is crucial.
✨Understand the Integration Landscape
Familiarise yourself with how catastrophe modelling workflows integrate with systems like Igloo and Snowflake. Be prepared to discuss how you would approach designing modular, reusable solutions using an API-first strategy. This will show that you can think critically about system architecture.
✨Communicate Clearly and Collaboratively
Since this role involves working closely with various teams, practice articulating your thoughts clearly. Be ready to explain how you translate business requirements into technical solutions. Strong communication skills will set you apart as a candidate who can bridge the gap between technical and non-technical stakeholders.