Overview

Risk Modeller - Catastrophe / Climate / Data ScientistAre you a skilled Risk Modeller ready to drive innovation in climate risk analysis? My client, a purpose-driven tech company in central London, is searching for a talented Catastrophe Risk Modeller to join its research-driven, high-impact team.Why Join?

£65k- £85k base

+ full benefits, 36+ days leave, 1k training conference budget and moreRelocation assistancePlay a central part in tackling the risks of climate changeDirect impact on the development of global-scale loss modelsModern, collaborative environment with a hybrid London office (three days onsite)Generous benefits: £1,000 annual training and conference budget, annual leave, mental health support, and moreCompany supports relocation (including visa sponsorship and a relocation allowance) for the right candidateThe Company

My client is an industry leader building advanced models to quantify the physical and financial risks associated with climate change. With a diverse, dynamic team based in London, the company combines statistics, data science, and real-world climate observation to help global clients manage and mitigate their climate-related exposures. Its culture is founded on technical excellence, inclusivity, development, and real-world impact.The Role

Full lifecycle of building, testing and calibrating (not just analysts doing validation and calibration, and not just solely building)Not just using RMS , actually coding and building loss models with hazard model inputsResearch, implement, and champion advanced loss models that quantify climate-related risksCalibrate and validate models using qualitative and quantitative techniques, ensuring scientific rigorContribute to the design and evolution of a scalable loss modelling framework serving diverse geographies and use casesWork closely with geospatial and financial loss datasets, blending observation data with model output at local to global scalesDocument models, present results, and represent the team at stakeholder meetings, conferences, and industry eventsEssential Requirements

Demonstrable experience in building and calibrating catastrophe / loss models (ideally across multiple perils)Specific coding experience without relying on Moody''s RMS.Proficiency working with geospatial/earth observation data AND large economic or financial loss datasetsProgramming expertise in Python and RExcellent communication, with the ability to make complex models accessible for non-technical stakeholdersVisa sponsorship will ONLY be available if ALL the above requirements are met.What Will Make You Stand Out

Advanced catastrophe modelling knowledge, especially in exposure/vulnerability domainsApplied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value TheoryMachine learning experience related to climate risk or catastrophe modellingExperience with cloud platforms such as AWS or Google CloudIf you are interested in this role, please apply with your CV through this site.DISCLAIMER:No terminology in this advert is intended to discriminate on the grounds of sex, race, or belief, and maternity, marriage and civil partnership, and/or reassignment, and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at attisglobal.com.Keywords for search:Risk Modeller, Catastrophe Modeler, Data Scientist, Climate Risk Analyst, Loss Modeller, Statistical Modelling, Earth Observation, Python Programming, R Programming, Catastrophe Modelling, Hazard Modeller, Geospatial Data, Climate Data Science, Extreme Value Theory, Data Scientist, Machine Learning, Bayesian Statistics, Exposure Modelling, Vulnerability Analysis, Model Builder, Hybrid Working, Visa Sponsorship, Relocation Support, Climate Analytics, Financial Risk, Physical Risk, Research Scientist, Data Modelling

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