Catastrophe modelling and exposure management

Exclusive to Arthur, we're partnering with an innovative, technology-led UK insurer that has built its reputation by solving some of the most complex challenges in home insurance. Operating at the intersection of data science, geospatial intelligence and underwriting, the business has spent over two decades using technology and analytics to better understand risk and provide cover where others cannot. As they continue to invest in advanced pricing capabilities, they are looking to appoint an R&D Manager – Risk Pricing & Geospatial Analytics to lead the discovery, development and deployment of next-generation risk signals that drive underwriting and pricing performance. This is a rare opportunity for a senior analyst, principal analyst or technical lead to step into a highly visible leadership role where you'll influence strategy, build new capabilities and see your work deployed directly into production. The Opportunity You'll lead the development of innovative pricing features and geospatial risk models focused on property and household insurance risks. Working across Pricing, Data Science, Underwriting and Claims, you'll identify new data sources, assess emerging technologies and transform research concepts into deployable pricing solutions that deliver measurable commercial impact. This is a genuinely hands-on role where you'll combine technical expertise, commercial thinking and people leadership to shape the insurer's future risk capability. What You'll Be Doing Lead the discovery, testing and deployment of new geospatial and peril-based pricing variables. Build and execute a third-party data strategy, identifying and integrating external datasets that improve risk selection and pricing accuracy. Develop innovative address-level risk features using geospatial, property and environmental data. Build, validate and benchmark predictive models across frequency, severity and large-loss propensity. Evaluate new data vendors, run proof-of-concepts and quantify commercial value. Translate R&D concepts into production-ready pricing features and models. Integrate hazard, exposure and vulnerability data to improve understanding of complex property risks. Support model governance, monitoring, explainability and regulatory compliance. Hire and grow the team in 2027 Present recommendations to senior stakeholders and influence strategic decision-making. What We're Looking For We're open to candidates stepping up from Senior Analyst, Principal Analyst, Lead Analyst or Technical Specialist positions. You'll likely bring: Extensive experience within insurance pricing, data science, catastrophe modelling, geospatial analytics or related risk functions. Strong household insurance experience. A track record of delivering predictive models, pricing features or data products into production environments. Experience working with third-party geospatial, environmental or property datasets. Strong technical capability across Python, R and SQL. Experience using GIS technologies such as QGIS, ArcGIS, GeoPandas or PostGIS. Understanding of model governance, explainability and regulatory requirements. Excellent stakeholder management and communication skills. If your experience aligns with many of the areas outlined above, but not necessarily all of them, we'd still encourage you to apply. The hiring manager is open to exploratory conversations with individuals who can bring some relevant experience and have the capability and ambition to grow into the role.

I'm currently working with a leading global insurer seeking a Cat/ Exposure Developer to join a growing Analytics & Exposure Management function. This is a unique opportunity for a software developer who enjoys building analytical products, working with large datasets, and leveraging AI technologies to solve complex business problems. You'll play a key role in developing next-generation exposure management tools that support underwriting, portfolio management, and capital optimisation across the business. Key responsibilities include: • Building web-based analytical tools to deliver exposure, loss, and portfolio insights to underwriting teams • Driving integration between exposure analytics platforms and modern data lake architecture • Developing innovative solutions leveraging AI technologies, natural language querying, and automated workflows • Supporting the creation of bespoke exposure and financial calculation engines using industry-standard data formats • Working closely with Data, Underwriting, Pricing, Claims, and Portfolio Management teams to deliver scalable analytical solutions • Supporting the development of data warehouses, reporting platforms, and portfolio monitoring tools • Contributing to data quality, reconciliation, and infrastructure enhancement initiatives What we're looking for: • 3–5 years' software development experience • Strong Python skills with FastAPI, Flask, or Django • Front-end development experience using React and JavaScript/TypeScript • Experience building APIs and scalable applications • Strong understanding of Git, CI/CD, automated testing, and Agile delivery practices • Databricks experience highly desirable • Exposure to geospatial data, AI-assisted development tools, or insurance analytics would be advantageous • Strong communication skills and a collaborative mindset This is an excellent opportunity to join a fast-growing business where analytics, technology, and exposure management sit at the heart of strategic decision-making, offering significant scope to influence future platforms and AI-driven solutions. For a confidential discussion, please get in touch.

I'm currently working with a leading global insurer seeking an Treaty Analyst to join its growing Exposure Management team. This is an excellent opportunity for someone with catastrophe modelling experience in Treaty business who wants to play a key role in portfolio analytics, underwriting support, and catastrophe exposure management within a highly analytical and fast-paced environment. Key responsibilities include: • Delivering portfolio roll-ups across Lloyd’s, International, and Group entities • Supporting the management and communication of Treaty catastrophe exposures across the portfolio • Acting as a key contact for Treaty Underwriters, providing insight on model assumptions, data quality, and pricing inputs • Supporting regulatory and internal reporting requirements • Assisting with catastrophe event response and loss estimation activities • Supporting Outwards Reinsurance submissions and exposure analysis • Contributing to the development of exposure management tools, systems, and processes What we're looking for: • 2 years’ catastrophe modelling experience within Treaty business • Strong understanding of catastrophe models, particularly RMS (AIR highly desirable) • Experience with Python and SQL, alongside handling large datasets • Knowledge of reinsurance structures and portfolio recoveries • Understanding of the Lloyd’s market, PRA, and Solvency II environment • Strong analytical, communication, and stakeholder management skills • A proactive, solutions-focused mindset with a passion for improving processes and analytics This is a fantastic opportunity to join a business where exposure management is central to underwriting strategy, offering strong technical development, underwriting interaction, and long-term career progression. For a confidential discussion, please get in touch.