Climate Hazard Modeler

RMS have an open position in our climate hazard modelling team based in London. This role involves researching the hazard of severe convective and extra-tropical storms and developing statistical and mathematical models which quantify the risk they pose to society. It presents a unique opportunity to work in a multidisciplinary team of catastrophe modelers including statisticians, mathematicians, physical scientists and structural engineers, to build models which are critical to our Re/Insurance clients and essential to the other markets which RMS serve.

**Key Responsibilities**:
**Essential Requirements**:
- Strong mathematical foundation with particular focus in numerical modeling, statistics, probability, and computational science.
- Demonstrated success in developing sophisticated mathematical models in academic or industrial environments.
- Experience with climate analyses & data, in particular as they relate to understanding of severe convective or extra-tropical storm processes.
- Experience working with large and complex datasets.
- Strong ability in modelling languages (e.g. R, Python, Julia), and modern systems of scientific repeatability and engineering scalability (e.g. GitHub).
- Experience with high-performance clusters and strong user skill in a Linux/Unix environment.
- Ability to communicate analysis results and insights effectively both internally and with external business partners.
**Advantageous**:

- Demonstrated success to manage priorities and deadlines and to work independently in a highly dynamic and diverse environment with multiple concurrent goals and with a diverse team of scientists and engineers.
- Excellent time management and planning skills with a commitment to delivery.
- Driven and committed, demonstrating initiative and self-motivation.
- Critical thinking and problem-solving skills.
- Attention to detail and intense curiosity.
- Familiarity and interest in the re/insurance business domain.
- Familiarity and interest in state-of-the-art modelling methods including AI and ML.
- Willingness to pursue continued education in support of the role and team goals.

Please provide your CV highlighting the salient education and experience, and a Cover Letter demonstrating how these meet the requirements of the position.
**About RMS**

There is a 1% chance an earthquake will cause $50 billion of insured loss within the next 12 months and a 5% chance that a hurricane will cause $60 billion of insured losses next year. At RMS, we turn risks into real numbers. How? By building simulation models that allow insurers and investors to understand and manage their global risks-from hurricanes, quakes, and wildfires, to cyberattacks, terror attacks, and pandemics. Why? We want to build a more resilient world, and we are on a mission to help make every risk known.

Insurers, reinsurers, investors, financial institutions, governments, and NGOs trust RMS solutions to better understand and manage catastrophe risks. RMS was founded in 1989 by Stanford scientists who created our first model for California Earthquake. Today, RMS has some 1,300 employees across 13 offices in the US, London, Bermuda, Zurich, India, China, Japan, Singapore, and Australia, and over 1,000 products and models now covering six continents.

How we understand and manage risk affects everyone and our passion is nothing less than creating a more resilient world through a better understanding of catastrophic events. Join our team of leading scientists, developers, industry experts, and world-class professionals. Together, RMSers make a difference on a truly global scale.

RMS is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without regard to race, color, creed, gender, religion, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, genetic characteristics, sexual orientation, or any other classification protected by applicable local, state, or federal law.

To all recruitment agencies: RMS does not accept unsolicited agency resumes and will not be responsible for the payment of placement fees related to unsolicited resumes submitted to open positions, job aliases, or to our employees.