Jobs

    Senior Physical Climate Risk Modeller - Cambridge, United Kingdom - Four Squared Recruitment Ltd

    Four Squared Recruitment Ltd
    Four Squared Recruitment Ltd Cambridge, United Kingdom

    2 days ago

    Default job background
    Permanent, Full time
    Description
    Senior Physical Climate Risk Modeller

    £50-60k

    Cambridge/hybrid


    We are recruiting for our specialist tech start up clients, with a clear mission statement; you will be joining a business who are using their product to assist some of the biggest global brands in their pathway to become Net Zero.


    We are looking for a Senior Risk Modeller to join our client's mission of assisting businesses in managing their exposure and response to the dual nature-climate crisis – the two biggest systemic threats facing the economy.

    They have developed a unique modelling and analytics platform, established on over a decade of influential frameworks.

    The outcomes of their models aid corporations in assessing and navigating the risks and opportunities presented by the transition to a low-carbon, nature-positive economy.


    Their software platform, along with our advisory services, supports companies in producing climate- and nature-related analytics to navigate their pathway to net zero and sustainable business practices.


    Our clients are offering:

    • An unparalleled climate-tech platform, counting numerous international well known brands and companies as clients.
    • Opportunity for personal development
    • A multidisciplinary, diverse and passionate team of richly talented individuals
    • Excellent benefits, including bonus scheme and private medical insurance.
    • The opportunity to be part of something meaningful in the race to net zero.
    • Commitment to delivery with good time management, decision-making, and planning skills.
    • Must possess strong attention to detail, multi-tasking, and organisational abilities.
    The role


    • Part of the environmental analytics team based in our Cambridge office.
    • Flexible/hybrid working options available, although the majority of time will be spent in the Cambridge office.
    • Responsibilities include assisting in the development and maintenance of environmental and risk models.
    • Focus on physical climate risk modelling and developing new models and methods.
    • Expected to be a thought leader within the team, applying expertise across nature and climate.
    • Senior role involving handling complex datasets, conducting analytics, and building rigorous models.
    • Work involves quantifying the probability, consequences, and financial impacts of nature and climate risk scenarios.
    • Generate new insights through visualisation and representation of outputs.
    • Collaborate with clients on consulting projects and present advanced modelling results directly to them.
    • Work alongside a skilled team of modellers, economists, data scientists, and software engineers.
    • Contribute to the broader company's development and support Risilience in its mission towards a sustainable future.
    The candidate


    • Bachelor's or higher degree in natural sciences, mathematics, physics, or a related quantitative discipline.
    • At least three years' post-qualification experience.
    • Expertise in relevant physical scientific topics related to climate change and/or catastrophe risk, or quantitative modelling.
    • Familiarity with climate science and an ability to use or interpret the outputs of climate models and published datasets to produce customised analytics and models (e.g. IPCC and CMIP6).
    • Demonstrated experience with a programming language such as Python (preferred) or another language.
    • Excellent problem-solving skills, including the ability to learn new topics and develop innovative solutions.
    • Demonstrated experience synthesising information from various sources to create new knowledge or novel solutions; experience applying data science to real-world problems.
    • An ability to source information; organise and interpret datasets; and present and communicate results effectively.
    • An interest in climate change and/or nature risks and how these may impact business.
    EA- 1167
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