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Climate Risk Model Evaluator
2 months ago
**About Climate X**
Climate X is a pioneering climate adaptation data company dedicated to revolutionizing the way the world manages assets, property, and infrastructure. Our mission is to apply cutting-edge, peer-reviewed science to prevent the worst impacts of climate change.
**Our Approach**
We combine climate projections, remote sensing observations, and modeling to project the frequency and severity of physical climate risks such as floods, subsidence, storms, etc. Our SaaS platform enables financial institutions and real estate firms to:
- Identify how property/company assets could be damaged by severe weather events
- Assess the potential impact on asset valuations
**Our Goals**
We aim to help our clients become more resilient to climate change and make informed investment and lending decisions. We believe in diversity and inclusion, with a team and investors from various backgrounds.
**The Role**
We are seeking a skilled Climate Model Validator to conduct quantitative and qualitative reviews of our models. The ideal candidate will have a PhD or equivalent experience in a relevant STEM field, such as climate science, hazard modeling, statistical analysis, computer science, or mathematics.
**Key Responsibilities**
- Conduct conceptual soundness, assumption, data integrity, performance, and documentation reviews of our models
- Maintain our register of models, MRM documentation, and help prioritize model improvements
- Engage in ongoing model review activities, including independent validation, monitoring report review, and addressing action items when required
- Write technical reports for distribution and presentation to various stakeholders
**Requirements**
- PhD or equivalent experience in a relevant STEM field
- Prior experience of model evaluation for regulatory purposes or model validation
- Experience leveraging scientific computing techniques with Python, ideally in a cloud environment
- Experience in developing or validating models using artificial intelligence and machine learning techniques
- Project management and coordination skills with the ability to prioritize work
- Familiarity with climate risk scenarios, stress testing, and climate risk regulations
- Understanding of macroeconomics and/or financial markets
**What We Offer**
- Monthly training and conference budget to help you upskill and develop your career
- 6 monthly appraisals and 12 monthly pay reviews
- Pension contribution scheme
- Flexible hours and hybrid working
- Mental Health and Wellbeing support via Oliva
- 25 days holiday, plus Bank Holidays, annual 3-day Christmas-closure, and half day on your birthday
- Opportunity to work on social impact and pro bono strategy projects
- Fully stocked supply of snacks, fruit, and refreshments