Modeler, Exposure Modeling (large data sets, building economics, SQL, Python)

Risk Management Solutions Newark, CA

RMS is the world's leading provider of analytics and decision science solutions for the quantification and management of catastrophic risks throughout the world. RMS models and services are used by hundreds of insurance and reinsurance companies, hedge funds, corporations, and governments to assess a wide-range of natural and man-made perils, from earthquakes and hurricanes to terrorism and disease pandemic.

We are currently seeking a Modeler / Data Scientist to join our Exposure and Data Analytics Development team in the Model Development group. The Exposure and Data Analytics team primarily focuses on developing data products related to insured property exposures and industry loss curves. Such products are an important part of RMS product line and provide a wealth of valuable information for our clients.

The candidate will be working in a multidisciplinary environment with other catastrophe risk modelers in other teams and across different offices (California, London and India) and would be engaged in leading the development, design and implementation of a wide range of data models including data models used in catastrophe risk modeling, exposure modeling, property information modeling, casualty and human-exposure modeling, claims data and valuation modeling.

In this role you will be primarily responsible for:

* Researching and mining socio-economic and engineering information related to insured properties and other assets in various countries around the world.

* Developing, evaluating, and implementing methodologies and solutions for property valuation and human exposure.

* Evaluating the insurance policy language in the P&C industry in various countries and translating those details to implementable assumptions.

* Developing insured value estimates, localized deductibles and limits, and similar data at different geographic resolutions such as Post Code, County, CRESTAs, District, and State.

* Executing analytics of the Exposure Data provided by our clients, and benchmarking RMS data products against such data.

Requirements:

* MS or PhD degree in an engineering or science related field, including but not limited to: Civil and Structural Engineering, Urban Planning and GIS, Financial Engineering, Operations Research, Industrial Engineering, Applied Math, Econometrics, Actuarial, Science, and Statistics. PhD degree preferred.

* Minimum 3 to 5 years of experience in the related industry. More than 5 years of analytical or quantitative modeling in the insurance or a related industry is preferred.

* High level of proficiency in data analysis and data manipulation software tools (including SQL, Excel, Access, and VBA).

* Knowledge of GIS preferred, including experience with ArcGIS and QGIS.

* Proficient programming skills in Python, R, or similar.

* Experience in one or more of the following is desired: data mining, developing analytical models, developing data products, underwriting, claims handling, or Actuarial Analysis.

* Proven record of developing analytical models is needed.

* Excellent written and verbal communication skills, as evidenced by technical presentations at meetings and conferences.

* Detail-oriented, ability to learn quickly, very strong analytical and organizational skills, and a high degree of self-motivation.

* Project management experience, and the ability to work collaboratively with a team of colleagues across several groups and offices.

About RMS:

There's a 5% chance that a hurricane will cause $60 billion of insured losses next year and a 1% chance an earthquake will cause $50 billion of insured loss in the next 12 months. At RMS, we build the simulation models that allow insurers and investors to understand portfolio risks due to catastrophes: natural catastrophes (hurricane, earthquake, flood), terrorism, pandemic, and changes in life expectancy.

We are one of the most exciting firms you've probably 'never' heard of, unless you're one of our hundreds of clients in the (re)insurance, banking or hedge fund sector. We lead an industry we helped pioneer and ultimately our work makes a true impact on the world at large. How we understand and manage risk affects everybody and our passion is nothing less than creating a more resilient world through a better understanding of catastrophic events.

We are evolving our vision by delivering future solutions in the cloud, releasing in 2016 a cutting edge risk management platform 'RMS(one)' for the global risk market. RMS(one) will create a holistic and integrated view across the enterprise with one platform for all models, all points of view, and all data. All will be run as equal partners on RMS(one).

To find out more, visit www.rms.com Or follow us on Facebook, LinkedIn or @rmsjobs on Twitter.

RMS is proud to be an equal opportunity employer

RMS is enrolled in E-Verify® and will be participating in E-Verify in addition to our Form I-9 process. www.dhs.gov/E-Verify

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