RMS is the pioneer in the development and application of complex statistical and numerical modeling methods for the quantification of risks due to natural and man-made catastrophes. Our risk models are the most detailed and comprehensive models of catastrophes produced anywhere in the world. Our clients include several hundred insurance and reinsurance companies as well as brokers, banks, hedge funds, regional and local governments, and multilateral agencies. Our models are delivered to our clients through sophisticated software utilizing a range of cutting-edge technologies.
Responsibilities will include understanding the mathematical modeling ideas developed at RMS and express them clearly and efficiently within the our software framework which is being built for the next generation RMS’ software platform. A successful candidate will work closely with our core model developers across all our hazard, exposure, and vulnerability teams, in a dynamic and business driven environment.
Qualifications and Skills:
- MS in Mathematics, Computer Science or Engineering from a top university.
- Excellent programming skills in C# or Java.
- Excellent knowledge of the .NET framework
- Good knowledge of probability and statistics.
- Good knowledge of mathematical modeling.
- Substantial experience in developing scientific applications with such tools, especially for use in a Cloud environment.
- Excellent communication and prioritization skills.
- PhD preferred
- Possess an analytical mindset and strong programming skills in a Linux/Unix environment.
- Experience working on large data sets in such an environment.
- Experience working with relational databases such as SQL Server, MySQL, as well as using NoSQL databases such as MongoDB, Cassandra, HBase.
- Understanding of Software Development Life Cycle processes, as well as Agile development methodology.
There’s 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’re 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.
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.
California Consumer Privacy Act notice: https://www.rms.com/legal#Privacy-Policy-ccpa
US Applicants: RMS is enrolled in E-Verify® and will be participating in E-Verify in addition to using our Form I-9 process. www.dhs.gov/E-Verify