Log In
Sign Up
Model Development group focuses on developing industry-leading stochastic catastrophe models for the quantification and management of risk. Within this group, Data Analytics and Solutions team focuses on creating products related to insured property exposures, data quality, and related applications.
The candidate will be working in a multidisciplinary environment designing and developing a wide range of data products and solutions used in catastrophe risk modeling. The candidate will be expected to gain and further utilize in-depth knowledge of all RMS models, backend data, concepts and assumptions.
Developing and executing methodology for the secondary product “Calibre” which will be used to assess the quality of client-coded exposure for all global RMS models.
Working closely with product managers and core modeling and software teams to develop specifications for integrating “Calibre” with Risk Modeler / IQ applications on the RMS platform.
Researching P&C data availability and requirements. Developing data and data quality assessment related products and solutions.
Developing, evaluating, and implementing methodologies and solutions for property valuation.
Executing model testing and implementation.
Requirements
MS degree in an engineering or science-related field including but not limited to: Financial Engineering, Operations Research, Applied Mathematics, Econometrics and Statistics.
1 to 3 years of experience in creating quantitative models using data sets (SQL, R, Python or similar).
In-depth knowledge of catastrophe models (RiskLink and HD) and methodologies preferably acquired in model testing or implementation role.
High level of proficiency in MS SQL.
Excellent written and verbal communication skills – evidenced by presentations at meetings.
Preferred
Knowledge of geospatial components, including experience on ArcGIS.
Experience in creating procedures/coding, automation.
Experience in one or more of – data mining, data analytics, developing statistical models.
Detail-oriented, self-driven quick learner with strong analytical and problem-solving skills, and a high degree of self-motivation.
About RMS
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 1000 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.
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.
