Catastrophe Modelling Jobs in the City of London

10 of 10 Catastrophe Modelling Jobs in the City of London

Senior Exposure Management Analyst

City of London, London, United Kingdom
Ki
of quote in addition to the more traditional post-bind monitoring and reporting of risk aggregations. The team is responsible for ensuring that Ki identify, measure, manage and report catastrophe risks and material exposures across all classes considering both natural and non-natural catastrophe risks with a particular focus on the reporting and communication of these exposures to … exposure management team works hand in hand with a range of functions spanning actuarial, data science and engineering skills applying a rich universe of external data and emerging risk modelling practices to the understanding, modelling and optimisation of risk exposures. Principal Accountabilities: Lead the preparation, validation, and submission of regulatory reports related to exposure management, ensuring accuracy, completeness … and technologies. Assist in assessing exposure risks and their impact on regulatory capital requirements. Provide insights to senior management on regulatory reporting trends and potential risks. Work with the Catastrophe Modeling, Algorithmic Underwriting, Capital Modelling, Actuarial, Risk and other relevant functions to continuously develop the business’ understanding of its risk profile. Provide analytics, management information and reporting to More ❯
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Senior Exposure Management Analyst

london (city of london), south east england, united kingdom
Ki
of quote in addition to the more traditional post-bind monitoring and reporting of risk aggregations. The team is responsible for ensuring that Ki identify, measure, manage and report catastrophe risks and material exposures across all classes considering both natural and non-natural catastrophe risks with a particular focus on the reporting and communication of these exposures to … exposure management team works hand in hand with a range of functions spanning actuarial, data science and engineering skills applying a rich universe of external data and emerging risk modelling practices to the understanding, modelling and optimisation of risk exposures. Principal Accountabilities: Lead the preparation, validation, and submission of regulatory reports related to exposure management, ensuring accuracy, completeness … and technologies. Assist in assessing exposure risks and their impact on regulatory capital requirements. Provide insights to senior management on regulatory reporting trends and potential risks. Work with the Catastrophe Modeling, Algorithmic Underwriting, Capital Modelling, Actuarial, Risk and other relevant functions to continuously develop the business’ understanding of its risk profile. Provide analytics, management information and reporting to More ❯
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Data Scientist

City of London, London, United Kingdom
Harnham
Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities Develop loss models to quantify climate-related risks, with a focus … on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re Looking For Experience building and calibrating statistical/mathematical loss models, ideally across More ❯
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Data Scientist

london (city of london), south east england, united kingdom
Harnham
Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities Develop loss models to quantify climate-related risks, with a focus … on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re Looking For Experience building and calibrating statistical/mathematical loss models, ideally across More ❯
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Senior Risk Analyst

City of London, London, United Kingdom
Eames Consulting
I am partnering with a leading syndicate that is looking for a catastrophe modelling analyst to join their team as a senior risk analyst. If your background lies in natural catastrophe modelling, and you are looking to transition into man-made classes of business, this would be a fantastic opportunity for you to hone new technical More ❯
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Senior Risk Analyst

london (city of london), south east england, united kingdom
Eames Consulting
I am partnering with a leading syndicate that is looking for a catastrophe modelling analyst to join their team as a senior risk analyst. If your background lies in natural catastrophe modelling, and you are looking to transition into man-made classes of business, this would be a fantastic opportunity for you to hone new technical More ❯
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Exposure Management Analyst

City, London, United Kingdom
Hybrid / WFH Options
Goodman Masson
analytically minded and technically confident Exposure Management Analyst to join a specialist reinsurer with a focused class of business and a national-level remit. This is not a traditional catastrophe modelling role instead, you ll be central to a highly strategic exposure team supporting data collection, validation, analysis, and internal modelling for one of the UK s More ❯
Employment Type: Permanent
Salary: GBP 55,000 - 60,000 Annual
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Exposure Research and Validation Manager

City Of London, England, United Kingdom
Brook Street
We have a unique opportunity for a candidate with recent experience in the Catastrophe Insurance field, who also has an academic science background ( Masters or PHd) in Climate Change, Flooding, Geology or a similar area of study, to join this Lloyd's Syndicate in a high profile Research and Validation role. They are offering a salary upto £85000 plus … range of benefits This role is immediately available and is based in their City of London offices 3 days per week and 2 days at home. Focusing on reviewing Catastrophe Modelling output , in order to offer succinct and validated information to the Underwriters, Company as a whole and external interested parties. This will probably suit someone who has … worked on similar projects in order to research, analyse and validate Catastrophe models for possible future Catastrophe exposures within the Lloyd's market. Strong written and verbal communications skills are key, as you will be presenting to a wide variety of internal and external. Ideally you will have experience of Verisk or RMS . You will also have More ❯
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Senior Exposure Management Analyst

City of London, London, United Kingdom
Eames Consulting
As we inch closer to the weekend, it would be a great time for us to connect and discuss the live positions I am currently working on in the catastrophe and exposure management space! 📌 A position that stands out to me is one that combines both the technical and interpersonal aspect of catastrophe modelling/exposure management. … Having the opportunity to build up your technical skillset in coding languages or use of catastrophe models, while communicating with stakeholders and delivering information, is an opportunity that builds your individual brand up - definitely not one to miss. I am working with a leading insurance firm that is looking to onboard a Senior Exposure Management analyst for a desk … where collaboration and innovation knows no limits! Working along various lines of business across natural and man-made catastrophe's, building up skills in the use of Python, R, and AIR, this is a fantastic opportunity to consider. If you are currently in the early years of your career, with 2 years of experience in the insurance industry, please More ❯
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Director of Machine Learning

City of London, London, United Kingdom
Harnham
estate firms understand and act on physical climate risk. You’ll define the ML strategy, shape a high-impact team, and deliver real-world innovation across generative AI, geospatial modelling, and time-series forecasting. Key Responsibilities Own and evolve the company’s AI & ML strategy in line with product and customer priorities Lead, mentor, and grow a high-performing … team of ML Engineers Take prototypes through to production, delivering meaningful product features powered by GenAI and predictive modelling Collaborate with Science and Engineering to integrate ML with physics-based climate models Communicate complex technical concepts in simple, outcome-oriented terms for customers and cross-functional teams Your work will focus on delivering high-value insights and solutions, including … satellite imagery and remote sensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statistical modelling What We’re Looking For Proven leadership and strong hands on experience Proven track record of deploying ML into production environments Depth in at least one of: generative AI More ❯
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Catastrophe Modelling
the City of London
25th Percentile
£76,250
Median
£82,500
75th Percentile
£88,750