Climate Hazard Modeler
2 weeks ago
Overview:
Risk Management Solutions (RMS) is the world's leading provider of mathematical models and information related to the financial impact of natural catastrophes.
D.
scientists and engineers based in London, building mathematical models that predict the distributions of possible damage due to the effects of tropical storms, extra-tropical storms, thunderstorms, storm-surges, and freshwater floods.
To that effect, we use observational and reanalysis data, as well as numerical, statistical, data science, and engineering models.
Our clients include several hundred insurance and reinsurance companies as well as brokers, banks, hedge funds, regional and local governments, and multilateral agencies.
Objective of the Role:
RMS have an open position in our hazard modelling team based in London.
This role involves researching the hazard of 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 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 on numerical modeling, statistics, probability, and computational science.
- Demonstrated success in developing sophisticated mathematical models in academic or industrial environments.
- Experience with climate analyses & data, with knowledge of tropical storm processes particularly advantageous.
- Strong ability in modelling languages (e.g. R, Python, Julia)
- Ability to communicate analysis results and insights effectively both internally and with external business partners.
- Strong user skills in a Linux/Unix environment
Advantageous:
- Experience with highperformance clusters.
- Ability to work collaboratively within a diverse team of scientists and engineers (including collaborating on code and experience of a version control system such as GitHub).
- Excellent time management and planning skills with a commitment to delivery.
- Driven and committed, demonstrating initiative and selfmotivation.
- Critical thinking and problemsolving skills.
- Attention to detail and intense curiosity.
- Familiarity and interest in the re/insurance business domain.
- Familiarity and interest in stateoftheart 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.
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.
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.
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.
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