Risk Modeller - Catastrophe / Climate / Data Scientist (RELOCATION AVAILABLE)

ZipRecruiter; Greater London; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A purpose-driven tech company in central London is seeking a skilled Risk Modeller to innovate in climate risk analysis. The successful candidate will engage in building, testing, and calibrating advanced catastrophe loss models. This role offers a competitive salary of £65k-£85k plus benefits, including relocation assistance. You will work in a hybrid environment, influencing the development of global-scale loss models and helping address climate-related risks.

Benefits

£1,000 annual training budget

36+ days leave

Mental health support

Relocation assistance

Qualifications

• Demonstrable experience in building and calibrating catastrophe/loss models.
• Specific coding experience without relying on Moody's RMS.
• Proficiency in working with large datasets.
• Excellent communication skills for non-technical stakeholders.

Responsibilities

• Build, test, and calibrate catastrophe loss models.
• Design and evolve a scalable loss modelling framework.
• Work with geospatial data and financial loss datasets.
• Document models and present results to stakeholders.

Skills

Programming in Python

Programming in R

Communication Skills

Experience with Geospatial Data

Experience with Financial Loss Data

Tools

Geospatial Analysis Tools

Cloud Platforms (AWS, Google Cloud)

Job description

Overview

Risk Modeller - Catastrophe / Climate / Data Scientist

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 & conference budget, annual leave, mental health support, and more
• Company supports relocation (including visa sponsorship and a relocation allowance) for the right candidate

The 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 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

Essential 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 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

If 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.

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