Start reviewing process: 29 October 2021
Catastrophe response modeler
Start reviewing process:
29 October 2021
Details are below or you can apply here: http://app.jobvite.com/m?34dH6mwV
Essential Job Functions
This role performs different functions depending on the current state of global catastrophic events.
When catastrophic events are not occurring, this role develops and tests tools used in RMS event response procedures. In many cases, this involves working with model product managers and model developers to ensure proper development and execution. The analyst may also externally represent the Event Response team through interactions with RMS clients.
When catastrophe events occur, this role executes the event response procedures to deliver real-time catastrophe modeling products to RMS clients.
- Master’s degree in a related subject (meteorology, geography, atmospheric science, hydrology, mathematics, statistics, or similar).
- Working knowledge of computer programming languages used in model development (examples include SQL, R, Python, Fortran, etc.) as well as a willingness to adapt or learn new languages as required.
- Strong interpersonal, communication, and presentation ability.
- Ability to communicate analysis results and insights effectively.
- Ability to work in fast paced, dynamic, and diverse environment on a variety of day-to-day tasks.
- Excellent time management and planning skills with a commitment to delivery.
- Self-starter, driven and committed, demonstrating initiative.
- Team player with a readiness to learn from others.
- Critical thinking, problem-solving skills, and a keen attention to detail.
- Ph.D. in a related subject or professional experience working with catastrophe models within the insurance industry.
- Experience and/or interest in the re/insurance business domain.
- Skill with 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.
- Strong mathematical and statistical foundation.
- Experience working on large and complex datasets.
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.
RMS helped pioneer the natural catastrophe model market we now lead – and we continue to innovate. In May 2019, we announced RMS Risk Intelligence™ (RI), an open-standard platform for strategic risk management. Through this purpose-built platform, clients can tap into RMS HD models, rich data layers, intuitive applications and APIs that simply integrate into existing enterprise systems to support business decisions across underwriting, risk selection, mitigation, and portfolio management.
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.
Visit RMS.com to learn more and follow us on LinkedIn and Twitter.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.