Scientist (Loss modelling: physical risk from weather and climate)

About Us

We are a leading global climate risk and analytics provider located in London, UK and New York, US. Earlier this year, we closed Series A led by GV (Google Ventures) and are on a fast trajectory to lead the financial services and asset management industries with our B2E SaaS platform, comprised of three products, Carta, Spectra and Adapt, which resolve customer climate risk challenges across their entire workflows.

We are at a pivotal point in scaling our product offering, expanding our market reach, and refining our product strategy to sustain continued success.

About the role

We are seeking a scientist with a strong background in applied statistics and physical loss modelling, who has specific experience in physical climate/weather risk. This role is ideal for someone experienced with natural catastrophe models and comfortable working with complex and large geospatial and loss datasets. You will be a key contributor to the development, calibration and validation of loss models that support our mission to help clients assess and manage climate risks.

The impact you’ll own

• Loss Model Development: Research and implement loss models that quantify climate-related risks, focusing on robustly estimating asset vulnerabilities.
• Model Calibration & Validation: Calibrate and validate loss models against a wide variety of data sources ensuring they meet rigorous scientific and practical standards.
• Qualitative Validation: Leverage your experience in loss modelling to enhance qualitative validation, particularly in cases where data is limited.
• Framework Development: Contribute to building our overall loss modelling framework, ensuring robustness and adaptability across diverse client requirements and geographies.

Essential Skills

• Experience in weather risk with a strong background in statistics and loss modelling.
• Proficiency working with geospatial data (climate and Earth Observation) and observed or modelled economic damage datasets.
• Prior experience in loss modelling with a focus on validation when data is limited.
• Skilled in model calibration, particularly for loss models and damage curves.
• Strong programming skills in python/R or another language.
• Strong communication skills with ability to explain complex concepts to a non-technical audience.

Desirable Skills

Experience in any one of these areas makes you stand out but are not required for the role and if you are passionate and interested in the role we encourage you to apply!

• Expertise in catastrophe modelling, especially in the physical hazard and vulnerability domain.
• Experience with Bayesian statistics and/or Extreme Value Theory.
• Machine learning knowledge with applications in climate risk assessment.
• Experience with cloud computing (e.g. AWS/Google Cloud)

Qualifications

• PhD or equivalent experience in climate science, hazard modelling, statistical analysis and remote sensing.
• Minimum of 3 years of industry experience in statistical or catastrophe modelling.

Benefits

🌍 Contribute to a business making purposeful impact related to climate change

💡 Monthly training & conference budget to help you upskill and develop your career (£1,000 per year)

📈 6 monthly appraisals and 12 monthly pay reviews

💰 Pension contribution scheme

🏡 Flexible hours and hybrid working (3 days/week in office; core hours 10am-4pm)

🏥 Mental Health and Wellbeing support via Oliva

🏖 25 days holiday, plus Bank Holidays, annual 3-day Christmas-closure, and half day on your birthday (36.5 days total!)

🏏 Optional quarterly socials, dinners, and fun nights out

🥐 A fully stocked supply of snacks, fruit, and refreshments for the days when you are in the office

🚴 Cycle to work scheme via gogeta

🍼 Enhanced maternity and paternity

🐶 Pawternity leave

🐕 Dog friendly office (official residence of Alfie, Chief Mischief Officer)

Equal Opportunities

Climate X are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating an inclusive environment for all employees and welcome applications from individuals of all backgrounds.