OverviewAttis Greater London, England, United Kingdom

Are 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 more

Relocation assistance

Play a central part in tackling the risks of climate change

Direct impact on the development of global-scale loss models

Modern, 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 more

Company supports relocation (including visa sponsorship and a relocation allowance) for the right candidate

The CompanyMy 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 inputs

Research, implement, and champion advanced loss models that quantify climate-related risks

Calibrate and validate models using qualitative and quantitative techniques, ensuring scientific rigor

Contribute to the design and evolution of a scalable loss modelling framework serving diverse geographies and use cases

Work closely with geospatial and financial loss datasets, blending observation data with model output at local to global scales

Document models, present results, and represent the team at stakeholder meetings, conferences, and industry events

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 datasets

Programming expertise in Python and R

Excellent communication, with the ability to make complex models accessible for non-technical stakeholders

Visa 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 domains

Applied statistical skills in uncertainty quantification, Bayesian statistics, or Extreme Value Theory

Machine learning experience related to climate risk or catastrophe modelling

Experience with cloud platforms such as AWS or Google Cloud

Benefits

Salary range: £65k-£85k base, plus full benefits

Relocation assistance and visa sponsorship on the right terms

Hybrid working with three days onsite in London

Annual training and conference budget (£1,000)

Generous leave and mental health support

What Will Make You Stand Out

Already included above

Additional DetailsDISCLAIMER:

No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender 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.

Required KeywordsRisk 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

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Science, Information Technology, and Other

Industries

Climate Data and Analytics, Climate Technology Product Manufacturing, and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at Attis by 2x

London, England, United Kingdom

#J-18808-Ljbffr